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M logo
MFS InvestmentsBoston, MA
At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures. Data Scientist Analyst Co-op MFS is a global investment management firm focused on creating long-term value responsibly by doing what's right for our clients every day. Our rich history dates to 1924, when our founders invented the mutual fund. Since then, collaboration and innovation have fueled our success. Our unwavering commitment to finding the best, most durable investment opportunities is what sets us apart - and our success is grounded in our unique approach, disciplined philosophy and collaborative culture. THE ROLE Joining our team provides opportunities to share your voice and talents, tackle challenging problems, create solutions and collaborate with dedicated co-workers. This Co-op experience provides participants with meaningful, relevant work experience as part of their academic studies. In addition to daily responsibilities, participants will have the opportunity to participate in a series of structured activities designed to enhance their learning experience including: Co-op New Hire Orientation Senior Leadership Speaker Series Social & Networking Events Presentation Challenges At the conclusion of this position, co-ops will have increased their knowledge of investing, the mutual fund industry, employee engagement, and a firm understanding of how information technology works at an asset manager. MFS co-op positions are a 6-month commitment, working Monday- Friday (January 6th through June 26th, 2026), and work between 35-40 hours. Our program is designed for undergraduate and graduate students who are currently enrolled in a co-op program through their college or university and can meet our requirements. JOB SUMMARY The Data Scientist Analyst Co-op position involves working as part of a dynamic team of Data Scientists, Sales Strategists, and Market Data Analysts within the Technology and Distribution departments. This team works with internal business partners within Distribution to develop models and provide analytics to improve decision-making. WHAT YOU WILL DO Primary functions include, but are not limited to: Working with domain specialists in Distribution and Technology to integrate business needs with data analytics technology solutions. These solutions will be delivered by: a. Defining the problem and identifying business requirements. b. Identifying, collecting, loading, and preparing the data. c. Building analytical models using descriptive, predictive and other advanced analytical techniques on transformed data sets. d. Analyzing and interpreting the results of the analytical models e. Designing and implementing data analytics pipeline into production environment e. Communicating results clearly and concisely using visual formats. Working with other Data Scientists and Technology domain specialists to identify opportunities and deliver novel process improvements to the Distribution business units, leveraging: a.Data from internal systems including CRM, Sales, and MFS.com b.Third-Party Market Data c.Other identified data sets as required WHAT WE ARE LOOKING FOR Pursuing a Bachelor's or Master's degree in a related area. Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, or Applied Mathematics are preferred. Experience in applying Advanced Analytics and/or Data Science Modeling Techniques. This could be project experience as part of a class or work experience Strong expertise utilizing Python for machine learning and statistical analysis with object-oriented code structure Basic knowledge of the following- Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing) Comfort manipulating and analyzing data in various formats. Experience with complex, high-volume, high-dimensionality data from varying sources is a plus. Understanding Generative AI capabilities as well as prompt formatting Understanding of relational, XML and NoSQL database models with and associated data access methods (SQL) Strong communication skills Proven analytical skills and demonstrated ability to take initiative and help with developing creative solutions to meet business needs Experience working on a team, preferably on projects If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. #LI-HYBRID MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting. If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance. MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

Posted 3 days ago

Transunion logo
TransunionReston, VA
TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics

Posted 30+ days ago

F logo
Fox CorporationLos Angeles, CA
OVERVIEW OF THE COMPANY Fox Corporation Under the FOX banner, we produce and distribute content through some of the world's leading and most valued brands, including: FOX News Media, FOX Sports, FOX Entertainment, FOX Television Stations and Tubi Media Group. We empower a diverse range of creators to imagine and develop culturally significant content, while building an organization that thrives on creative ideas, operational expertise and strategic thinking. JOB DESCRIPTION The FOX direct-to-consumer (DTC) platform is a new, forward-looking initiative within Tubi Media Group that brings FOX's unparalleled content portfolio-news, sports, and entertainment-directly to consumers via an innovative subscription streaming service. Driven by a highly experienced leadership team with extensive backgrounds at the intersections of media, technology, streaming, and content-and built with the full support of Fox Corporation-this venture combines entrepreneurial energy with deep media expertise. Our vision is to create a unified, modern viewing experience that puts the consumer first-seamlessly integrating live and on-demand content across platforms. At the intersection of cutting-edge technology and trusted storytelling, this is an opportunity to shape the future of streaming at one of the most pivotal moments in media. We're assembling a world-class team to deliver on that vision-and we're just getting started. ABOUT THE ROLE FOX One is not just another streaming product. It is the bold convergence of FOX News, FOX Sports, and FOX Entertainment into a single, powerful digital destination - designed to reshape how millions of people engage with real-time and on-demand storytelling across devices and formats. We are looking for a Manager of Growth Data Science & Analytics to join our developing Analytics team. In this role, you will drive data-informed decision-making across the full marketing funnel, with a focus on user acquisition and activation. Your work will directly influence business growth through advanced analytics, experimentation, and strategic insights. As a key partner to the Marketing and Business Operations teams, you will lead hands-on modeling, manage third-party vendors for statistical analysis, and deliver actionable recommendations that optimize marketing investments and media performance. You'll combine scientific rigor with business acumen to uncover the "why" behind user behavior and shape go-to-market strategies. We're seeking someone who thrives at the intersection of data and storytelling, is comfortable influencing senior leadership, and has a proven track record of translating complex data into scalable solutions. This role reports to the Director of Analytics and will have significant influence across performance and brand marketing. A SNAPSHOT OF YOUR RESPONSIBILITIES Lead end-to-end analysis of marketing campaigns, media mix, and acquisition strategies using appropriate statistical or experimental methods (e.g., regression modeling, time-series analysis, geo-experimentation, causal inference, etc.). Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Deliver regular (weekly and monthly) narratives on the "why" behind acquisition growth mixing both marketing performance with content and industry trends. Develop and implement sophisticated statistical models and forecasting techniques including Match Market Test (MMT), Marketing Mix Modeling (MMM) and Multi-Touch Attribution (MTA) to evaluate marketing performance, predict outcomes, and optimize marketing investments. Build or oversee the creation of interactive dashboards and automated performance reporting using tools like Tableau, Snowflake, dbt, and SQL. Develop automated dashboards and reporting mechanisms to track real-time performance Prepare regular reports and presentations for senior leadership, highlighting achievements, insights, and areas for improvement Partner as the key stakeholder for Martech operations to streamline data collection and metric definitions from various sources, ensuring accuracy and efficiency. Integrate AI tools and automation to streamline insight delivery. Manage and mentor an analytics operations analyst, fostering a culture of continuous improvement and high performance. A SNAPSHOT OF YOUR RESPONSIBILITIES 10+ years of experience in data science, marketing analytics, or performance measurement. Deep understanding of digital and traditional offline media metrics, attribution challenges, and customer acquisition funnels. Experience developing and working with marketing measurement solutions, including MMM and MTA models, geo tests, incrementality studies, causal inference, forecasting, LTV, churn, and segmentation Proficient in SQL or statistical programming (e.g., Python, R) for building models and conducting exploratory analysis. Proven success translating complex data into executive-ready insights. Strong cross-functional collaboration skills and ability to work independently with stakeholders at all levels. NICE TO HAVE, BUT NOT A DEALBREAKER Experience in subscription, streaming, or media companies or agency supporting such companies. Bachelor's or Master's degree in Statistics, Data Science, Economics, Computer Science, or a related quantitative field. #Ll-Hybrid We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law. Pursuant to state and local pay disclosure requirements, the pay rate/range for this role, with final offer amount dependent on education, skills, experience, and location is $143,000.00-170,000.00 annually. This role is also eligible for an annual discretionary bonus, various benefits, including medical/dental/vision, insurance, a 401(k) plan, paid time off, and other benefits in accordance with applicable plan documents. Benefits for Union represented employees will be in accordance with the applicable collective bargaining agreement. View more detail about FOX Benefits.

Posted 30+ days ago

Barry-Wehmiller logo
Barry-WehmillerPasadena, TX
About Us: BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. Rooted in our distinct culture of Truly Human Leadership, we cultivate the leaders who will define tomorrow and partner with our clients in the food & beverage, life sciences, industrial, and advanced technology industries to build the future of manufacturing and technology. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Job Description: Director, Client Development- Life Science About Us BW Design Group is a fully integrated architecture, engineering, construction, system integration, and consulting firm committed to helping our clients realize their most critical goals from Strategy to Commercialization. As the only firm born from a manufacturing technology company to become an independent and fully integrated AEC firm, we combine deep domain expertise in the manufacturing environment with an approach that is built to serve the dynamic needs of our clients. By virtue of our DNA and our roots in manufacturing technology, we think like our clients think. We have a Manufacturer's Mindset that is inherent to how we operate across every stage of the project lifecycle. We measure success by our achievement of our clients' commercial critical goals. Barry-Wehmiller is a diversified global supplier of engineering consulting and manufacturing technology for the packaging, corrugating, sheeting and paper-converting industries. By blending people-centric leadership with disciplined operational strategies and purpose-driven growth, Barry-Wehmiller has become a $3 billion organization with nearly 12,000 team members united by a common belief: to use the power of business to build a better world. Role Summary As a Director, Client Development- Life Science, you will have the opportunity and responsibility for relationship development, project development, sales campaigns, and business planning for clients within the Life Science Markets. By applying sound judgment and facilitating robust cross-functional solutions you will lead clients through business case development, front end planning, and project development for manufacturing and distribution focused capital investments. In this role, you will be supported by a team of industry and project delivery experts who have experience converting our clients' capital spending initiatives into commercialized solutions. You will join our AEC team and partner with leaders, technical specialists, and subject matter experts to develop design-build and EPC projects. Success in this role is measured by your ability to win new business, expand existing relationships, deliver rewarding client experiences, and contribute to scaling our AEC business through market development, business development planning, client acquisition, and continually expanding our service and solution offerings. Responsibilities Provide client, technical, and project delivery leadership in the development of capital projects for the Life Science markets. Lead and collaborate on the development of front-end programming, planning, schematic design, and preconstruction of projects to be delivered as design-build or EPC solutions. Develop and execute client development and design-build solutions to achieve business goals, focusing on both sourcing and building new client relationships as well as maintaining and expanding existing relationships. Develop long-standing client relationships that are based on trust, technical and project delivery excellence, and a concierge level of client service and experience. Expertise in client development, project development, and project delivery including client development, proposals, contracts, planning and zoning, real estate acquisition, manufacturing & distribution operations, development of project plans and strategies, and overall project budgets that can be executed to achieve the client's investment objectives. Focus on overall project success and accomplishment of client objectives related to scope, schedule, budget, safety, quality, and operational performance. Analyze and develop specialized technical solutions to meet the client's objectives for new and existing cGMP facilities. Maintain a knowledge of industry standards, best practices, and regulatory requirements. Mentor and provide guidance to other AEC professionals within the firm. Client leadership includes assessing market, prospect, and client business trends, plans, and priorities; defining client goals and objectives; conditions of success; client communication; technical analysis; project development; presentation of project delivery approach to the client; and ongoing relationship development. Lead and coordinate market and trend analysis; client and business development planning; account planning; pipeline analysis; forecasts; and account performance evaluation. Communicate relevant information on targeted clients, contacts, and opportunities. Lead and/or assist on client requests for proposals, targeted client pursuits, marketing campaigns, customer presentations, trade and industry networking events, interface with client representatives, and perform other duties as needed. Make an impact day-to-day with your skills and expertise, while strengthening relationships with our clients and the Design Group team. Requirements 15+ years of experience leading the development, design and construction of facilities, including programming, schematic design, design development, construction documents, permit acquisition, preconstruction, construction, and operations turn-over. Leadership skills and experience with a drive to grow and expand local, regional clients and national clients. The ability to structure and lead development of design, design-build, and EPC projects for cGMP manufacturing and distribution facilities. An understanding of facility operational requirements, people and material flows, adjacency schemes, automation, environmental classifications, and an understanding of various industry regulatory requirements. Demonstrated ability to anticipate future market trends, adapt to changing circumstances, and continuously seek ways to improve project outcomes and client experience. Entrepreneurial drive with a passion for client relationship development, paired with a keen understanding of the client decision-making process. Strong verbal and written communication skills, with the ability to deliver impactful presentations and build consensus across internal and external teams. Ability to break down complex problems into manageable components, identify core issues, and develop innovative solutions. Skilled in prioritizing critical details and managing multiple relationships, opportunities, and projects concurrently. A working knowledge of local, state, and federal building codes and requirements. Experience in the development, design, and delivery of greenfield, brownfield, renovations & expansion type projects. Excellent communication and interpersonal skills and client interaction abilities. Our clients and projects are nationwide, travel is required to attend client meetings and presentations, site walk-throughs, facility assessments, operational reviews, construction reviews, client and company sponsored meetings. BS or MS degree in a related Engineering discipline, Architecture, Construction Management, or related technical degree. The approximate pay range for this position is $150,000-$190,000. Please note that the pay range provided is a good faith estimate for the position at the time of posting. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and abilities as well as geographic location of the position. #LI-TT At Barry-Wehmiller we recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please still consider applying. We know that our differences often can bring about innovation, excellence and meaningful work-therefore, people from all backgrounds are encouraged to apply to our positions. Please let us know if you require reasonable accommodations during the interview process. Barry-Wehmiller is an equal opportunity employer. M/F/D/V This organization uses E-Verify. Applicants may be subject to pre-employment screening which may include drug screening, reference checks, employment verifications, background screening and/or skills assessments. Company: Design Group

Posted 30+ days ago

PagerDuty logo
PagerDutyAtlanta, GA
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses. Join us. At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace. PagerDuty is seeking a Director, Data Science (IT) to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations. You'll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we're aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you'll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company. Key Responsibilities Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes. Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization. Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers. Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives. Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance. Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value. Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization. Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions. Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement. Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs. Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility. Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability. Basic Qualifications: 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS. Proven track record of building and leading high-impact data science teams. Proven experience deploying machine learning models at scale in production environments. Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms. Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels. Preferred Qualifications: Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred. PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning. This role is expected to come into our Atlanta office 2 days per week, so you can thrive in your new role and fully embrace being a Dutonian! The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits. Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience. Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process. Hesitant to apply? We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts! Where we work PagerDuty operates a hybrid work model with offices in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we cannot employ candidates residing in: Location restrictions: Australia: Northern Territory, Queensland, South Australia, Tasmania, Western Australia Canada: Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon United States: Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming Candidates must reside in an eligible location, which vary by role. How we work Our values guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian. People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance. What we offer As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site. Your package may include: Competitive salary Comprehensive benefits package Flexible work arrangements Company equity* ESPP (Employee Stock Purchase Program)* Retirement or pension plan* Generous paid vacation time Paid holidays and sick leave Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)* Paid volunteer time off: 20 hours per year Company-wide hack weeks Mental wellness programs Eligibility may vary by role, region, and tenure About PagerDuty PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2. Go behind-the-scenes on our careers site and @pagerduty on Instagram. Additional Information PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy. PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email accommodation@pagerduty.com and we will work with you to meet your accessibility needs. PagerDuty uses the E-Verify employment verification program.

Posted 5 days ago

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Revolution Medicines, Inc.Redwood City, CA
Revolution Medicines is a clinical-stage precision oncology company focused on developing novel targeted therapies to inhibit frontier targets in RAS-addicted cancers. The company's R&D pipeline comprises RAS(ON) Inhibitors designed to suppress diverse oncogenic variants of RAS proteins, and RAS Companion Inhibitors for use in combination treatment strategies. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway. The Opportunity: The Temp Director of Regulatory Science (Early Development) is accountable for the delivery of regulatory science and strategy for designated early-stage programs at RevMed. They will support programs and drug development teams and ensure delivery of targeted, pragmatic, well-vetted, consistent and actionable regulatory advice for designated programs. The Director must have a thorough understanding of and be experienced in oncology drug development, applicable regulations, and current health authority thinking, and have strong leadership and relationship-building ability. Independently deliver sound regulatory science and strategy support to early development program teams (pre-IND through EOP1/2) Ensure drug development programs are fully resourced for the applicable stage of development and all relevant regulatory requirements are met Anticipate upcoming work; ensure robust and effective regulatory support. Ensure regulatory science takes account of competitive developments, evolving regulatory guidance, expert feedback, and that advice is aligned with company goals and objectives Ensure regulatory advice, policy and decision-making is consistent across programs and that learnings from one program are fully considered in other programs. Establish highly collaborative and effective relationships with colleagues in Clinical Research, Clinical Operations, Clinical Pharmacology, Nonclinical, Regulatory, Medical Writing, PM, Quality and other functions to ensure cross-functional alignment and team effectiveness. Required Skills, Experience and Education: Degree in life sciences, pharmacy, medicine, or related fields with a minimum of 12 years in the pharmaceutical/biotech industry or relevant work experience and a minimum of 8 years in Regulatory Affairs Demonstrated success in leading early stage regulatory submissions globally (IND, CTA, FDA meeting packages) Direct experience with oncology drug development. Experienced in representing Regulatory on cross functional teams and presenting to senior management. Excellent communicator. Excellent planning and organizational skills and the ability to work simultaneously on multiple projects with tight timelines. Preferred Skills: An advanced degree is desirable. Experience with combination studies, multiple expansion cohort, basket or umbrella and master protocols highly preferred. This is a contract position that will be employed through a third-party recruiting agency. The agency will provide the pay range, which will be based on several factors, including job-related skills, experience, market conditions, and relevant education or training. Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status. Revolution Medicines takes the protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCPA Notice and Privacy Policy. For additional information, please contact privacy@revmed.com. #LI-Hybrid #LI-AP1

Posted 30+ days ago

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SonderMind Inc.Denver, CO
About SonderMind At SonderMind, we believe everyone deserves one personalized, connected, and effective mental health destination to take care of their mental health and well-being at any stage of life. SonderMind care encompasses everything from therapy and medication management to meditation and mindfulness exercises. Our clinicians leverage our digital tools and research to deliver increasingly high-quality care and to develop thriving practices. Combining technology and human connection, SonderMind drives better outcomes through our comprehensive approach. Learn more about SonderMind at sondermind.com or download the mobile app, available on iOS and Android. To follow the latest SonderMind news, get to know our clients, and learn about what it's like to work at SonderMind, you can follow us on Instagram, Linkedin, and Twitter. About the Role We are seeking a visionary Director, Applied Science and Data Engineering to lead our AI, Machine Learning (ML), Generative AI initiatives, and Data Engineering. This strategic leadership role requires deep expertise in advanced data science methodologies, large-scale data management, and AI-driven innovation. The ideal candidate will have a proven track record of leading teams in large enterprises and agile startups, preferably with experience in the healthcare and/or the mental health domain. What you'll do Leadership & Strategy: Develop and execute the company's AI/ML and data science roadmap, aligning with business goals and driving measurable outcomes. AI/ML Innovation: Oversee the design, development, and deployment of cutting-edge AI models, including Generative AI solutions, leveraging extensive data sets for impactful insights. Data Strategy: Manage large and complex data ecosystems, ensuring high data quality, governance, and scalability to support AI/ML initiatives. Enterprise Data Management: Oversee the Enterprise Data team to design, build, and manage scalable data infrastructure, data pipelines, and data integration frameworks that support AI/ML and business intelligence needs. Experience Personalization: Develop and implement AI-driven personalization strategies to enhance user experiences and improve engagement. Natural Language Processing (NLP): Lead the development and integration of NLP technologies to extract insights, automate processes, and enhance customer interactions. Team Building & Development: Build, mentor, and inspire high-performing data science teams. Foster a culture of innovation, collaboration, and continuous learning. Partnerships & Collaboration: Collaborate cross-functionally with engineering, product, and business teams to integrate AI solutions into real-world applications. Healthcare/Mental Health Focus: Leverage experience or understanding of healthcare or mental health systems, clinical data, and compliance frameworks to drive AI solutions that improve outcomes and efficiency. Research & Advancement: Stay ahead of industry trends, ensuring the adoption of emerging AI technologies and best practices to maintain a competitive edge. Operational Excellence: Establish KPIs to measure the success of AI/ML initiatives, driving accountability and impactful results. What does success look like? In your first year, you'll be a key driver of SonderMind's strategy to use AI and data to deliver more personalized, effective mental health care. Success in this role will look like: Leading key decisions on whether to build proprietary models or leverage large language models (LLMs), with clear frameworks that balance innovation, performance, and compliance. Delivering AI-powered personalization that adjusts care recommendations based on client acuity, driving better engagement and outcomes. Defining and implementing data-driven outcome measurement frameworks, enabling us to track and improve the effectiveness of care at scale. Partnering cross-functionally with clinical, product, and business leaders to ensure applied science work solves high-priority, real-world problems. Launching AI initiatives with measurable business impact-such as reducing provider administrative burden, improving client-provider matching, or accelerating care onboarding. Establishing technical excellence by building reliable, secure, and scalable data and AI systems that meet the needs of a growing healthcare organization. Driving adoption and trust in AI tools among clients and providers through intuitive integration, strong performance, and transparent communication. You'll be measured not just on innovation, but on the clarity, usability, and impact of the solutions you and your team deliver. Who You Are Ph.D. or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. 8 - 10+ years of experience in applied science, AI/ML development, or data science leadership roles. Proven success in both large enterprise environments and startup ecosystems. Extensive experience in working with large-scale data sets and deploying AI/ML solutions in production. Experience with Generative AI models, LLMs, and NLP technologies. Healthcare or mental health industry experience is preferred but not mandatory. Proficient in Python, TensorFlow, PyTorch, or similar frameworks. Strong background in data engineering, feature engineering, and ML model deployment. Demonstrated ability to lead, inspire, and scale diverse teams, with a strong focus on mentorship and talent development. Exceptional at translating complex technical concepts into clear, actionable insights for stakeholders across the organization. Our Benefits The anticipated salary range for this role is $200,000 - $250,000. Final compensation will be determined based on a variety of factors, including relevant experience, skills, education, and past performance. In addition to base salary, this position may also be eligible for a variable bonus and equity. As leaders in redesigning behavioral health, we walk the walk with our employees' benefits. We want the experience of working at SonderMind to accelerate people's careers and enrich their lives, so we focus on meeting SonderMinders wherever they are and supporting them in all facets of their lives and work. Our benefits include: A commitment to fostering flexible hybrid work A generous PTO policy with a minimum of three weeks off per year Free therapy coverage benefits to ensure our employees have access to the care they need (must be enrolled in our medical plans to participate) Competitive Medical, Dental, and Vision coverage with plans to meet every need, including HSA ($1,100 company contribution) and FSA options Employer-paid short-term, long-term disability, life & AD&D to cover life's unexpected events. Not only that, we also cover the difference in salary for up to seven (7) weeks of short-term disability leave (after the required waiting period) should you need to use it. Eight weeks of paid Parental Leave (if the parent also qualifies for STD, this benefit is in addition, which allows between 8-16 weeks of paid leave) 401K retirement plan with 100% matching which immediately vests on up to 4% of base salary Travel to Denver 1x a year for annual Shift gathering Fourteen (14) company holidays Company Shutdown between Christmas and New Years Supplemental life insurance, pet insurance coverage, commuter benefits and more! Application Deadline This position will be an ongoing recruitment process and will be open until filled. Equal Opportunity SonderMind does not discriminate in employment opportunities or practices based on race, color, creed, sex, gender, gender identity or expression, pregnancy, childbirth or related medical conditions, religion, veteran and military status, marital status, registered domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition (including genetic information or characteristics), sexual orientation, or any other characteristic protected by applicable federal, state, or local laws.

Posted 30+ days ago

Columbus State Community College logo
Columbus State Community CollegeColumbus, OH
Job Description: The Adjunct - Political Science position provides quality instruction and maintains a positive learning environment in the classroom, with major emphasis placed on teaching, supporting and evaluating students. The Adjunct role provides instruction and monitors teaching/learning effectiveness in courses assigned by the Department Chair, or other leadership members. The incumbent must exhibit strong organizational skills and the ability to multitask while engaging large groups of people with complicated material. ESSENTIAL JOB FUNCTIONS Instruction & Student Learning Teaches assigned courses as scheduled and assumes primary responsibility for and exercises oversight of the curriculum in conjunction with the Department's policies, ensuring both the rigor of programs and the quality of instruction. Considers individual differences of students in order to design and support a range of appropriate learning activities. Participates in the identification of students with academic or other needs and responds by utilizing an appropriate resource. Uses technology in a manner appropriate to the nature and objectives of courses and programs and communicates clearly to students the expectations concerning the use of such technology. Keeps accurate and appropriate records in accordance with departmental policies. Maintains attendance records, determines and submits grades timely manner, and in accordance with established policies and procedures of the College, and communicates progress feedback as well as other relevant information to students throughout the semester. Distributes and maintains accurate syllabi that incorporate departmental, college, cross-college, and instructor requirements. Conducts classes punctually and in accordance with the prescribed meeting schedule. Employs appropriate assessment techniques to measure students' performance in achieving course goals and objectives. Engages in periodic meetings with the department, Lead Instructor, and Chairperson relative to teaching duties and professional development. Student Engagement & Advisement Creates a positive classroom atmosphere that encourages active and collaborative learning, student effort, academic challenge, student and faculty interaction, and support for learners. Uses technology to assist in communication with students. Encourages a sense of community among students for learning both inside and outside the classroom. Refers students to appropriate student and academic support services available at the College or in the community. Culture of Respect Fosters and maintains a safe environment of respect and inclusion for faculty, staff, students, and members of the community. Minimum Qualifications Master's degree in Political Science or a Master's degree with 18+ credit hours within the discipline. Additional Information State Motor Vehicle Operator's License or demonstrable ability to gain access to work site(s). WORKING CONDITIONS Typical office and classroom environment. Regular exposure to moderate noise typical to business offices. CSCC has the right to revise this position description at any time. This position description does not represent in any way a contract of employment. Compensation Details: Compensation: $55.88 per contact hour Contact Hour: Two hours equals one contact hour Hours: Maximum of 12 contact hours per week Full Time/Part Time: Part time

Posted 30+ days ago

NXP Semiconductor, Inc. logo
NXP Semiconductor, Inc.Austin, TX
Our business runs on Data, and having an accurate understanding of what's happening in all aspects of the business, from product quality, to New Product Introduction, to Human Resources. No matter where you land as a Data Scientist within NXP, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven analytic solutions supporting your assigned org to improve operations performance and product quality. Collaborating with stakeholders throughout the organization, you will design and develop predictive data models and algorithms in support of corporate goals. These solutions could include visual inspection and image classification, anomaly detection, predictive maintenance, NLP or other machine learning and AI applications. Activities Mine and analyze data from databases to drive optimization and improvement of manufacturing process, new product and process development, product performance and quality Develop data science applications for visual inspection and classification, anomaly detection, predictive maintenance, NLP, or root cause analysis using computer vision, machine learning and deep learning Perform full data modeling and algorithm development cycle: modeling, training, tuning, validating, deploying and maintaining services Research and develop novel statistical approaches and machine learning/deep learning models which add values to manufacturing process and product performance improvement Foster relationships with business team members and communicate project results in terms of customer value and business objectives Assess the effectiveness and accuracy of data sources and data gathering techniques Qualifications Working towards BS, MS, or PhD degree in Computer Science, Engineering, Sciences, Applied Mathematics or related field Python or R programming experience or coursework Strong knowledge and understanding of current ML and AI technologies & platforms Knowledge of current technologies and ML frameworks (tensorflow, pytorch, sklearn, keras,…) Hands-on experience on data engineering/processing frameworks (databricks, spark, dataflow, …) Data Science prototyping experience Results driven with a positive can-do attitude Creative problem solving Experience with Recurrent Neural Network architectures Experience with Image Analytics Experience with SQL Experience working with remote and global teams Excellent verbal and written communication skills Prefer experience with distributed storage and compute tools such as Hadoop and Spark Prefer working knowledge of streaming data solutions Prefer experience with Dataiku Prefer experience with DevOps environment This posting is not presently tied to a specific opening, however by submitting your application you'll be considered for any current or future opportunities in Data Science that align with your background, interests, and qualifications. More information about NXP in the United States... NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals. #LI-e41b

Posted 3 weeks ago

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BorgWarner Inc.Auburn Hills, MI
Position Data Science Intern - Corporate Advanced Engineering Location Auburn Hills, MI About us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world. Our Culture We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with BorgWarner now! Job purpose As part of the Chief Technology Officer organization, the Corporate Advanced Technology Development team is dedicated to developing and demonstrating advanced mobility technologies, focusing on new growth areas with longer time horizons. We develop system-oriented solutions that shape the future of mobility through collaborations with other functional areas and business units at BorgWarner. We are seeking a highly motivated Data Science Intern to join our team. In this role, you will support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products. This is a hybrid role based at BorgWarner's Propulsion Technology Center (PTC) in Auburn Hills, MI that provides an opportunity to work with cutting-edge technologies and play a key role in shaping the future of sustainable mobility. If you are highly motivated, a self-starter, and passionate about innovation, we encourage you to apply. Key responsibilities Collaborate closely with engineering teams to understand challenges and requirements and provide data-driven solutions. Support machine learning model development: data preparation, feature engineering, model optimization and data visualization. Assist in model deployment, testing, and analysis of resulting performance data. Prepare comprehensive model documentation and share findings within the organization. Assist in data collection using fleet vehicles. This position requires Interns to be on-site 3 days a week. What we're looking for Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. Enrolment in a graduate program (Master's or Ph.D.) in a relevant field is a plus. Demonstrated coursework or projects involving data analysis, machine learning, and statistical modelling. Proficiency in programming languages such as Python (preferred) or MATLAB. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data science tools and platforms (e.g., Jupyter Notebooks). Strong verbal and written communication skills, including the ability to effectively present findings and insights to non-technical stakeholders. Eagerness to learn and adapt to new tools, technologies, and methodologies in the rapidly evolving field of data science. What we believe Inclusion-We value diversity in people, ideas, and experiences. Integrity- We believe in transparency, authenticity, and depend on each other to deliver what we promise. Excellence- We contribute to our developments by seeking knowledge and sharing information. Responsibility- We care about our local communities and the global environment. Collaboration- We are one BorgWarner. Safety This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor. Equal Employment Opportunity BorgWarner is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status. Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit www.borgwarner.com Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner's website to verify the authenticity of any employment opportunities.

Posted 30+ days ago

Compass Group USA Inc logo
Compass Group USA IncCleveland, OH
Levy Sector Position Title: BOH Supervisor - Great Lakes Science Center Pay Range: $23.00 to $25.00 We Make Applying Easy! Want to apply to this job via text messaging? Text JOB to 75000 and search requisition ID number 1451071. The advertised program is an AI recruiting assistant that helps you apply to jobs with Compass Group. Message frequency varies. Message and data rates may apply. Text STOP to opt out or HELP for help. Terms and conditions: http://olivia.paradox.ai/moSkg Diversity of thought and inclusion for all is what drives our success - we invite you to start your journey with us today! Are you looking for a job with competitive wages, one in which you can learn and grow and be a part of a great team? We're hiring! Great team member perks like Instapay (early access to your wages) and high interest savings both through the EVEN app. From the stadium to the head table, Levy leverages unbridled creativity, custom strategies, impeccable service, and true love for great food to create unforgettable experiences. Founded in Chicago 40 years ago as a Delicatessen, Levy now finds itself as a leading presence in the Food, Beverage, and Retail industry across 200 plus Entertainment, Sports, and Restaurant venues across the country. For more information on what we are about as a company, check us out by following the link below: http://www.levyrestaurants.com/who-we-are/ Job Summary Monitors the food service operation to ensure production of top quality products and service. Essential Duties and Responsibilities: Performs inventory management to maintain high valuation and minimal waste. Ensures that staff is on task, quality assurance standards are being met, and the operation is clean and organized. Monitors marketing, confirming that signage is current and appropriate. Upholds policies and procedures to guarantee compliance with company and client expectations. Performs other duties as assigned. Qualifications: Ability to lift and move up to 25 pounds. Apply to Levy today! Levy is a member of Compass Group USA Click here to Learn More about the Compass Story Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law. Associates of Levy are offered many fantastic benefits. Instapay (early access to your wages) and high interest savings both through the EVEN app Associate Shopping Program Health and Wellness Program Discount Marketplace Employee Assistance Program Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here for paid time off benefits information.

Posted 30+ days ago

Eli Lilly and Company logo
Eli Lilly and CompanyPhoenix, AZ
At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Associate Director- Medical Science Liaison- Rheumatology (ID, MT, WY, UT, AZ, CO, NE, KS, IA, MO) Purpose: Scientific and Clinical Experts (SEs/CEs) are individuals who are noted for their expertise in a therapeutic area and as a result have special needs for in-depth and cutting-edge information, because they treat patients, design and implement novel research, and educate colleagues and students. The Medical Science Liaison (MSL) program is specifically designed to meet these needs through a field-based group of medical professionals with deep content knowledge about specific disease states, Lilly and competitive compounds and the landscape within the therapeutic areas they represent. MSLs recognize and communicate feedback and insights of strategic importance from their interactions with SEs and CEs, to better inform Lilly's strategic direction for research and commercialization. By facilitating scientific exchange between industry and the scientific community, MSLs have the opportunity to shape the future of healthcare by providing needed information that addresses important clinical and scientific questions. Responsibilities: Scientific knowledge MSLs will be required to engage in continuous learning to maintain the highest level of technical expertise within the therapeutic area they represent. This will enable the MSLs engagement in scientific exchange to respond to the diverse medical information needs based on customer requests. As a result, the MSL will establish themself as a reliable, trusted, resource of unbiased, accurate, up-to-date, medical and scientific information requested by their customers. Customer engagement MSLs will spend the majority of their time on customer facing activities. Through the application of emotional intelligence, strategic thinking and a deep understanding of their customers, MSLs will act as one of the primary interfaces between Lilly medical and SEs/CEs to deliver a positive customer experience and utilize MSL capabilities that enhance customer engagement. Additionally, MSLs connect SEs/CEs with other Lilly resources or internal business partners as appropriate and facilitate collaborative research and external opportunities. Territory ownership MSLs will be expected to demonstrate strategic analysis, planning, and prioritization to maximize efficiency. They will implement and evaluate a strategic territory plan prioritizing core MSL activities and take personal accountability for results. There is also an expectation for compliant partnerships across all Lilly field roles sharing customers to create an appropriately coordinated experience. MSL will effectively utilize territory analytics for customer identification and routing prioritization. Strategic vision and leadership MSLs effectively synthesize and communicate actionable customer/clinical insights to internal Lilly medical and cross functional teams. MSLs use good judgement in decision-making and escalate issues as appropriate. They cultivate internal networks and collaborate effectively across functions including working closely with other field-based colleagues. They embrace change, exercise strategic agility with evolving business needs and utilize innovative resources. MSLs should demonstrate the Team Lilly Behaviors (Include, Innovate, Accelerate, and Deliver) at all times in their work with peers and other Lilly colleagues. Within their own team, MSLs are expected to contribute to team goals and be an effective teammate. The MSL will execute the role in a compliant manner, adhering to all governing internal and external requirements, procedures, and laws, demonstrating good judgement at all times. Minimum Requirements: Advanced degree in health sciences (e.g., PharmD, MD, PhD in a medically related field) required with 2-3 years of relevant clinical or therapeutic area experience desired. Masters or bachelor's level degree in health sciences (e.g. BSN, RPh, PA, NP) considered if 5 or more years clinical, research or industry experience in relevant therapeutic area is present. Field based position requires ability to travel up to 80% and work up to 4 to 6 weekends a year. Valid U.S. driver's license and acceptable driving record. Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role. Other Information/Additional Preferences: Rheumatology therapeutic area experience is strongly preferred. Applicants should live in close proximity to a transport hub (airport/train station). Intellectual curiosity about the field of science/medicine for which they are responsible. Learning agility to comprehend and effectively communicate large amounts of complex scientific content in a clear and concise fashion. Self-directed and able to work alone in the field effectively managing multiple priorities and projects. Advanced presentation and computer skills with expertise in literature identification. Effective strategic and critical thinking in order to analyze, assess and evaluate information and interpret impact or relevance to future states. Excellent verbal and written communication skills. Ability to use field-based electronic or other communication tools for all aspects of job is critical. Resiliency in managing complex challenges. Strong teamwork and interpersonal skills, including high emotional intelligence and the ability to engage in professional relationship building and networking. Experience in servicing customer needs for complex information. Significant experience in professional networking with mutually beneficial outcomes. Experience in field based working environment highly valued. Familiarity with health systems, academic communities, medical research, and medical education process highly valued. #WeAreLilly Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $145,500 - $213,400 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

Posted 30+ days ago

Hdr, Inc. logo
Hdr, Inc.pismo beach, CA
At HDR, our employee-owners are fully engaged in creating a welcoming environment where each of us is valued and respected, a place where everyone is empowered to bring their authentic selves and novel ideas to work every day. As we work to weave diversity, equity, and inclusion into our work and foster a sense of belonging throughout the company and within our communities, we constantly ask ourselves: What is our impact on the world? Watch Our Story:' https://www.hdrinc.com/our-story ' Each and every role throughout our organization makes a difference in our ability to change the world for the better. Read further to learn how you could help make great things possible not only in your community, but around the world. HDR's San Francisco Architecture studio is in search of an Education and Science Principal to join our growing practice and word-class education and science expertise. HDR is a leader in designing research and education environments that inspire students to learn, researchers to discover and curiosity to thrive. We are consistently ranked #1 in Science and Technology and have been recognized by the industry's Lab of the Year program 11 times for designing facilities in which world-class scientists can discover cures for insidious diseases, create new sources of clean energy, protect our resources and improve public health - enriching people's lives around the world. Seamlessly integrating our science and education expertise, we are leading the transformation of learning environments at the world's top academic institutions to better prepare the next generation's leaders. Our impressive team of design and planning professionals provide a fun and supportive work environment, where global collaboration across disciplines and geographies is actively embraced to anchor our innovative practice. Committed to social and environmental responsibility, our architecture practice aspires to design facilities that move us toward a regenerative future where buildings go beyond sustainability to give more than they take. In the role of Principal for our Education & Science practice, you will help establish the vision and guide the overall direction of the market sector in the local region. The successful candidate must possess the drive and experience needed to nurture a diverse client base and to continue to elevate an unrivaled reputation for the HDR Education & Science team in the region. The role includes a variety of duties ranging from annual planning, closing on pursuits and directing project teams. Critical to this role is a proven history and commitment to developing and nurturing strong relationships with multiple clients in the market sector. Beginning with pre-positioning activities and continuing through (and beyond) the life of project execution. These relationships will be essential to creating opportunities and maintaining HDR's position for future work. Responsibilities include: Leadership and visioning for the sector in the region. Develop annual budgets for the Education and Science market sector coordinating with other local and regional leaders. Identify pursuit opportunities in the region developing strategies to incorporate them into our annual business plan. Build on existing client relations and initiate new relationships with key clients. Maintaining an active and visible presence in the sector, allocating time in proportion to annual fee goals for the local region. Help develop qualifications and proposals for pursuits. Leading pursuit go/no-go and strategy discussions. Directing interview strategies and implementation. Preparing and negotiating project contracts. Serving as Principal-in-Charge as appropriate. Working closely with local leadership to maintain project oversight throughout execution, including conformance to client expectations for technical/quality, financial performance, and schedule adherence. Providing mentorship and guidance to staff in support of career development. In collaboration with subject matter experts, and independently when appropriate, developing abstracts and presentations for industry conferences, seminars, workshops, and other similar events promoting program messages, research, project outcomes, lessons learned, trends, etc. related to facility design. Perform other duties as needed. Project types include academic research facilities, learning & teaching environments and research & development facilities for institutional, government, and corporate sector clients. Projects may include a variety of facilities in the areas of life sciences, physical sciences, biocontainment, animal research, public health and related support facilities. Project opportunities are largely within the region, but may extend to neighboring states and potentially abroad due to personal relationships, particular expertise, project needs, etc. Preferred Qualifications: Experience working with academic institutions in the State of California. Stronger consideration will be given to individuals with experience in higher education research labs and corporate developer S T experience - with client connections/relationships. Experience and/or interest in sustainable design/LEED Advanced credentialing (e.g. LEED, Well AP, PMP, etc.) LI-SA1 Required Qualifications Bachelor's degree in Architecture 15 years related experience A minimum 7 years project management experience Registered Architect Must have experience on large-scale projects Must be able to lead a team on projects and make client presentations Experience with Microsoft Office (Word, Excel, Project) Extensive knowledge and experience within the local and regional market Strong team leadership, mentoring, motivational/organizational and people skills Excellent written and verbal communication skills Must be willing to travel An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ , People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees.

Posted 30+ days ago

LexisNexis logo
LexisNexisRaleigh, North Carolina
Please note that the selected individual for this role will be expected to work in our Raleigh, NC location from the time of joining. If you reside outside of the Raleigh region and you are unable or unwilling to relocate, then please consider other roles across our organization that might allow for remote locations. About our Team : LexisNexis Legal & Professional, serving customers in over 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to improve productivity and transform the legal market. We prioritize using the best models from today's top creators for each legal use case. About LexisNexis Data Sciences: At LexisNexis, we're redefining legal intelligence through advanced AI. Our teams harness the power of large language models (LLMs) , retrieval-augmented generation (RAG) , and agentic systems to build tools that analyze, draft, and reason with legal text. Join us in building AI systems that help legal professionals move faster, think deeper, and operate with confidence. Role Overview: We are seeking a Senior Manager of Data Science to lead a high-impact team focused on building intelligent systems powered by LLMs and RAG architectures . This role centers on delivering AI agents that generate legal documents , interpret contracts , and autonomously execute multi-step tasks across complex legal workflows. You’ll drive the strategy, technical execution, and team growth necessary to build next-generation legal assistants—capable of grounded reasoning, contextual document drafting, and interaction with structured and unstructured data sources. Key Responsibilities: Vision & Strategy: Define the roadmap for applying LLMs and agentic AI to real-world legal drafting, summarization, and task automation challenges. Evangelize and embed AI-driven change across legal product platforms. Translate evolving generative AI capabilities into tangible customer value within the legal domain. Technical & Product Leadership: Architect systems that combine foundation models with RAG pipelines to draft contracts, memos, and pleadings grounded in enterprise knowledge. Guide the development of AI agents that perform multi-step reasoning, cite evidence, retrieve domain-specific content, and produce compliant outputs. Lead evaluation of model performance for generation, summarization, classification, and dialogue-based workflows with legal constraints in mind. Build scalable prompt engineering frameworks and manage fine-tuning or adaptation of models to legal datasets. Team & Operational Excellence: Mentor and grow a multidisciplinary team of LLM-focused Data Scientists and ML Engineers. Drive cross-functional collaboration with Legal SMEs, Data Engineers, Product Managers, and Design. Establish best practices for evaluation, observability, and responsible use of generative AI. Oversee development of infrastructure to support continuous delivery and monitoring of LLM systems in production environments. Core Qualifications: Experience Previous people management experience (3+ years) of teams building LLM-based applications , especially in domains requiring rigor and traceability like legal, finance, or compliance. Hands-on experience delivering systems using LangChain , LLM agent frameworks , vector databases , and prompt orchestration pipelines . Strong background in deploying retrieval-augmented generation (RAG) systems for grounded and auditable responses. Demonstrated success in taking LLM-powered applications from prototype to production. Technical Proficiency Proficient with Python and LLM tooling: LangChain, HuggingFace Transformers, OpenAI APIs, and prompt tuning techniques. Familiarity with vector databases (e.g., Solr, Elasticsearch, Qdrant, Weaviate), knowledge graphs, and hybrid retrieval architectures. Working knowledge of containerization (Docker, Kubernetes), CI/CD, and model serving tools (TorchServe, Triton, Ray Serve). Cloud infrastructure experience on AWS, Azure, or GCP. Preferred Background Graduate degree in Computer Science, AI, Machine Learning, or equivalent experience. 10 years of post-degree experience, with 4+ years in a data science or applied AI leadership role, with a focus on NLP/LLM systems. Prior experience in legal tech, legal AI, or document-intensive domains is highly desirable. Familiarity with ethical/legal considerations in deploying generative AI in professional settings. Work in a way that works for you : We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive Working for you : We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption, and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business : LexisNexis Legal & Professional® provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis® and Nexis® services. U.S. National Base Pay Range: $116,000 - $215,500. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits ● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan ● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs ● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity ● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits ● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts ● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .

Posted today

C logo
Cleerly, Inc.New York City, NY
About the Opportunity As a Medical Science Liaison (MSL), you'll join a dynamic team that values agility, autonomy, and innovation in providing scientific and clinical education to physicians and clients. In this role, the MSL will cultivate lasting relationships with thought leaders, large cardiology and radiology practices, hospitals, and private practices within the cardiology field. The ideal candidate will possess a strong, evidence-based scientific approach and have extensive knowledge of cardiovascular disease, including its diagnosis and treatment. TTC*: $207,000 - $218,500 Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.). We hire employees anywhere within the United States and account for geography when determining base salary. Responsibilities Establish Cleerly as a leading company committed to patient access and the advancement of early diagnosis of cardiovascular disease.. Stay informed of medical, scientific and technical developments regarding Coronary Artery Disease by continuously reviewing literature in the field, monitoring competitor activities, networking with experts, and attending relevant conferences. Have proficiency to demonstrate Cleerly's products and services to physicians and other HCPs, and articulate the scientific evidence base that supports Cleerly's products. Collaborate with commercial, marketing, and scientific affairs, to serve as a Cleerly resource to HCPs, large group medical practices, payers and other corporate clients. Develop specific KOL plans for health systems including, pre-call planning, training, and follow up plans. Support national, regional, and local scientific congresses including physician engagement and booth coverage. Provide knowledge and expertise to the marketing teams in utilizing key clinical data and medical trends for developing commercial/promotional materials that differentiate Cleerly products. Provide product teams with feedback and insights from interactions with referring physicians and KOL's. Respond to unsolicited requests for medical information and engage in meaningful peer-to-peer scientific exchange. Collaborate closely with commercial teams to provide clinical support through product demonstrations, trainings and business development meetings with physicians and healthcare systems. Conduct patient case review calls with physicians and healthcare providers. Support strategy teams with clinical support as needed for population health and other initiatives. Collaborate with the market access & reimbursement team to provide clinical support where appropriate. Adhere to corporate SOPs and ensure vigilant compliance with relevant legal and regulatory guidelines governing scientific interactions with physicians and healthcare professionals across all activities, including those related to clinical trials, scientific interactions with internal and external groups, and responses to unsolicited requests for medical/ scientific information. Requirements Advanced degree (PA, NP, PharmD) required. Prior experience in the cardiovascular field is a must. Has a solid base knowledge of cardiovascular disease to engage in thoughtful and compliant scientific exchange. Demonstrates a deep passion for medicine, science, and clinical development. A minimum of 5 years of experience as MSL is preferred. The ideal candidate will have worked in a more entrepreneurial environment at some stage in their career. Ability to work in an effective manner cross functionally. A go-getter, hard-worker, self-motivator, can-do approach, and bias for action. Ability to think out-of-the box and drive creative solutions while understanding how to leverage available resources. Ability to analyze research and syndicated data/trends. Excellent written and oral communication skills while being process oriented. Proficient in Microsoft Word, Excel, PowerPoint, and Outlook. Ability to manage multiple priorities and manage time efficiently. Ability to travel 30-40% of the time.

Posted 30+ days ago

G logo
Gossamer Bio, Inc.San Diego, CA
Summary: The AD/Director, National Medical Affairs (MSLs) will lead and manage the MSL team focused on Pulmonary Arterial Hypertension (PAH), while also maintaining limited direct territory responsibilities. As AD/Director, MSLs, this leader will be accountable for their territory and will actively partner with other Medical Affair leaders to ensure cohesive strategies and execution across the broader organization. You will drive regional Medical Affairs priorities, aligning execution with the company's broader vision and goals. You will also serve as a key cross-functional partner, collaborating with Clinical Development, Clinical Operations, and other stakeholders to align priorities, set clear expectations, and drive impactful outcomes. Essential Duties and Responsibilities Team Leadership & Development Lead and manage Medical Science Liaisons (MSLs) and contract field medical affairs team members across territory, ensuring effective collaboration and team transitions. Partner with the Sr. Director, Medical Affairs (Americas) and Trainer to design and deliver training plans, materials, and field coaching. Guiding and mentoring team members, fostering a collaborative environment and supporting professional growth Define successful metrics, resource needs, and operating procedures to evolve the field-based Medical Affairs organization and evaluate team performance. Motivate, coach, and hold team accountable for timely reporting, projects, and deliverables. Make decisions that are aligned with the overall goals and strategies of medical affairs and broader organization. Strategic Planning & Execution Develop and oversee congress strategies and KOL engagement plans, ensuring alignment with Medical Affairs objectives. Provide actionable field insights to senior leadership to guide strategy and decision-making. Partner with the medical affairs leadership team to align on strategy and execute according to the plan Ability to evolve the field strategy to anticipate external shifts and stakeholder needs, ensuring the team remains future-focused, data-driven, and impact-oriented. Lead the development of Medical Affairs dashboards and reporting tools. Oversee performance management and growth plans across the field team. Cross-Functional Collaboration Work closely with Clinical Development and Clinical Operations to ensure study expertise, protocol alignment, and support for study-related activities (e.g., site initiation, issue triage, recruitment barriers). Maintain consistent communication across Clinical Operations, Clinical Development, and Medical Affairs to ensure coordinated execution and site support. Collaborate with other Medical Affair leaders to align training, strategy, and best practices. Collaborate with Chiesi partners and share strategic insights that are relevant to medical affairs Field & Scientific Engagement Maintain limited territory responsibilities, engaging regional/national KOLs, investigators, study staff, and healthcare providers. Provide scientific education, literature, and insights within corporate and compliance guidelines. Attend regional and national conferences to gather competitive insights, build relationships, and raise awareness of Gossamer and seralutinib. Support trial-related education, enrollment, patient retention, and site engagement in collaboration with cross-functional teams. Support and attend medical affairs projects within the territory including advisory boards, round table meetings, medical education events and presentations. Compliance & Administration Ensure adherence to field compliance guidelines and company policies. Ensure all medical activities adhere to regulations and promote ethical standards Deliver accurate, timely administrative reports and documentation. JOB QUALIFICATIONS Education, Certifications, Experience Advanced scientific or clinical degree (PhD, PharmD, MD) are strongly preferred; equivalent experience will be considered. 7+ years of progressive Medical Affairs experience, with proven leadership impact. 10+ years for senior level role. 10+ years for senior level role. Previous experience in managing or leading a team preferred. Minimum 3 years in people management, including 2+ years leading MSL teams for senior level role. Expertise in pulmonary arterial hypertension (PAH); ability to quickly develop deep knowledge in new therapeutic areas. Strong background in clinical research, including early-stage product development and clinical trial operations (study design, IRBs, contracting, feasibility, start-up, execution, and closure). Experience with pre-launch, launch, and post-launch activities. Demonstrated ability to set vision, lead, and evolve high-performing field-based medical teams. Proven track record of driving organizational objectives through collaboration, accountability, innovation, and results-oriented leadership. Adept at navigating complex, changing landscapes and pivoting strategies as new data emerges. Established ability to build and maintain trusted relationships with external thought leaders, investigators, and stakeholders. Skilled communicator with strong diplomacy, balancing scientific expertise with relationship building. Experience expanding an organization's reach and influence through scientific engagement. Strong organizational skills with the ability to manage competing priorities and timelines in a dynamic environment. Highly analytical, with a proven ability to identify challenges, anticipate needs, and develop solutions. Strong problem-solving skills with the ability to effectively assess, navigate, and develop an action plan. Effective collaborator across functions (Clinical Development, Commercial, Regulatory, etc.) to align strategies and achieve business goals. Proven ability to distill complex scientific data into clear, compelling materials and visuals tailored for diverse audiences. Office environment / Domestic and International travel up to 60% may be necessary. Gossamer Bio is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants and complies with all applicable national, state and local laws governing nondiscrimination in employment.

Posted 2 weeks ago

Loyola Marymount University logo
Loyola Marymount UniversityWestchester, CA
The Mathematics, Statistics and Data Science Department of Loyola Marymount University invites applications for a tenure-track position at the Assistant Professor level beginning Fall 2026. The successful candidate will have expertise in statistics, data science, or a related field. Applicants are expected to have completed a Ph.D. or comparable terminal degree in statistics, data science, statistics education, operations research, mathematics, or a related field by August 15, 2026. The Mathematics, Statistics and Data Science Department, housed within Loyola Marymount University's College of Science and Engineering, is an inclusive community of 21 full-time faculty members and approximately 70 undergraduate mathematics majors, about half of which are statistics and data science majors, 55 minors, and 10 Master of Arts in Teaching Mathematics students. The department offers several Bachelor's degree options and minors, including both a Bachelor of Science in Statistics and Data Science and a minor in Statistics and Data Science. Faculty in the department work in many areas of pure and applied mathematics, statistics, and data science, in an atmosphere of mutual respect and collaboration. Additional information about the LMU Mathematics, Statistics and Data Science Department is available online at https://cse.lmu.edu/department/math . The Department offers two, three, and four unit courses. The normal teaching load is two to three courses per semester, averaging 9 units per semester, with a reduced teaching load in the first two years. LMU is committed to broadening the participation of students in STEM fields, and LMU's environment offers many opportunities for collaborative research, teaching, and service that actively inform and improve equity and social justice. Faculty responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. Successful candidates will be dedicated to: 1) teaching a diverse student body in a transformative learning environment across a range of undergraduate courses, 2) developing a thriving research program and mentoring undergraduate students, and 3) participating in service activities at the academic, professional, and/or community levels. The department has a commitment to working towards greater diversity, equity, inclusion, and accessibility in the profession. The successful applicant will submit a statement indicating how they expect to contribute to this effort in ways that align with student-centered pedagogies, accessible mentorship practices, and the university mission. LMU provides comprehensive benefit offerings and robust support for faculty. For more information about our programs visit at https://admin.lmu.edu/hr/totalrewards/benefits/ and https://academics.lmu.edu/ofd/ which links to the latest Faculty Resource Guide. Apply online at MathJobs.Org: https://www.mathjobs.org/jobs/list/26637 . A complete application consists of the following: A cover letter highlighting your experience/interest in the position; A curriculum vitae detailing your educational background, research accomplishments, and work experience, as well as any leadership and service experience (e.g., academic, professional, community) that you believe are relevant to this position; A statement of your teaching philosophy that addresses past and/or potential contributions that would be related to LMU's mission or your overall vision for your role as a teacher-scholar; A statement of current research and your plans for establishing a thriving research program in your area of expertise at LMU, including, if applicable, how you plan to involve undergraduate students in scholarship; A statement that addresses past and/or potential contributions to promotion the success, sense of belonging, and thriving of students from a variety of lived experiences through pedagogical and mentorship practices that center diversity of thought, equity in outcomes, inclusion of students from all backgrounds, and accessible learning environments. The application of these contributions might include, but are not limited to: research, teaching and/or service that has prepared the candidate to contribute to the engagement and inclusion of diverse audiences in higher education, contributions to diverse perspectives and ways of knowing and learning, and/or research or professional experience with a specific social justice-focus on underserved communities or nations; Three letters of recommendation, at least one of which addresses the applicant's teaching. Initial review of applications will begin on October 1, 2025. For full consideration, please submit applications by October 15, 2025. Please address questions to Professor Anna Bargagliotti, Hiring Committee Chair, at Anna.Bargagliotti@lmu.edu. #HERC# #HEJ# Faculty Regular Reasonable expected salary: $97,000.00 Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

Posted 30+ days ago

Liberation Academy logo
Liberation AcademyCollege Park, GA
Liberation Academy is seeking a passionate, dynamic, and equity-focused STEM Teacher to join our dedicated team. The ideal candidate will inspire students to engage deeply with science, technology, engineering, and mathematics through culturally relevant, project-based learning that connects classroom content to real-world challenges and social justice issues. We are looking for an educator who is committed to fostering a supportive, inclusive, and rigorous learning environment where every student can see themselves as a capable innovator and problem-solver. Job duties will include, but are not limited to, the following: Curriculum Development and Instruction Design and deliver engaging, project-based, and interdisciplinary STEM instruction aligned with national standards (e.g., NGSS) and Liberation Academy’s educational philosophy. Integrate culturally responsive pedagogy and social justice principles into all lessons, making STEM relevant to students' lives and communities Develop academically rigorous lessons, unit plans, rubrics, and assessments Use data to inform instructional decisions Differentiate instruction to ensure that all students are progressing In conjunction with Exceptional Education Teachers, work to ensure that all IEPs and student needs are met both within and outside of the classroom Help Build a Positive School and Classroom Culture Embody and maintain school’s values, policies, and culture Develop positive relationships with students, families, teachers, staff, and community members Establish and maintain strong communication with all families and share progress Show up for critical school events, including staff meetings, open houses, parent-teacher conferences, and more Create a classroom environment that is conducive to learning and is developmentally appropriate to the maturity and interests of the students Have fun and spread joy! Demonstrate a Growth Mindset Pursue challenging professional goals each year Give and receive positive and constructive feedback with your colleagues Participate in school-wide and individual professional development Be prepared to do whatever it takes for all students to learn and grow Requirements Required Qualifications Bachelor’s degree required A passion for being a part of a team-oriented, mission-driven school culture Pass Criminal Background Check Demonstrated commitment to closing the opportunity gap By the time that employment begins, all teachers in our schools must meet certification requirements. There are a few ways to meet this requirement: Hold a valid Georgia Teaching License and possess the correct content endorsements needed to teach the particular content Hold a valid teaching license that has successfully been transferred from another state that offers reciprocity with GA Enroll in state-accredited Alternative Certification Program pursuing certification and be eligible for recommendation of licensure by district or program Preferred Qualifications: Candidates would preferably have a combination of the following qualifications: Bachelor’s or Master’s degree in a relevant STEM field (e.g., Biology, Chemistry, Physics, Engineering, Computer Science, Mathematics) or Education with a specialization in STEM. Certified to teach middle grades math or science Previous experience in the field of computer science Benefits Compensation and Benefits Liberation Academy offers a competitive compensation and benefits package. Pay is commensurate with experience, education level, and/or certification. Statement of Non-Discriminatory Practices Liberation Academy is committed to a policy of equal treatment for all individuals applying for employment. Liberation Academy does not discriminate on the basis of race, color, gender, handicap, age, religion, sexual orientation, or national or ethnic origin.

Posted 1 day ago

Merck KGaA logo
Merck KGaAMadison, WI
Work Your Magic with us! Start your next chapter and join MilliporeSigma. Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us. This role does not offer sponsorship for work authorization. External applicants must be eligible to work in the US. Mirus Bio (now part of MilliporeSigma) is a leading provider of life science products, committed to advancing research, development, and healthcare solutions. We work with top-tier organizations in the life sciences field, providing cutting-edge technologies and expertise. We are seeking an experienced and results-driven Channel Sales Representative to join our team and support the growth of our life science product offerings across a broad network of distribution partners. Your Role: The Channel Sales Representative- Life Science Discovery Products, will be critical in driving sales and expanding the market share for our life science products. This individual will be responsible for building and maintaining strong relationships with distribution partners, managing sales strategies, and identifying new opportunities for growth in the life science sector. The ideal candidate will have experience in sales within the life sciences or healthcare industry and a proven track record of success in channel sales management. Develop and Manage Direct and Distribution Channels: Drive sales for Life Science Discovery and manage relationships with distribution partners in key markets, ensuring alignment with company goals and product offerings. Where appropriate identify and recruit new distributors. Sales Strategy Execution: Work closely with internal teams to develop and implement sales strategies aimed at achieving revenue targets and expanding market presence within the life science sector for both distribution and direct business Product Knowledge: Maintain in-depth knowledge of the company's product portfolio, staying up to date on product advancements and market trends to provide valuable guidance to distributors and clients. Customer Engagement: Provide exceptional support to distribution partners, offering training, troubleshooting, and guidance to ensure their success in selling life science products. Where appropriate, support our direct customer base. Sales Reporting and Forecasting: Track sales performance, provide regular updates, and manage forecasts to ensure accurate revenue predictions and market penetration. Market Analysis: Monitor and assess competitor activities, industry trends, and customer feedback to inform sales strategies and product improvements. Promotional Support: Assist with the creation and execution of marketing and promotional campaigns to enhance product visibility and distributor engagement. Travel: Regular travel to meet with distributors, attend industry events, and gather customer feedback. (20% of the time) Minimum Qualifications: Bachelor's degree in Biology, Chemistry, Business, or other Life Sciences discipline. 3+ years of sales experience, focusing on life science products or related industries like Academia, Biotech, and Pharma Preferred Qualifications: Ideally have a proven track record in managing distribution channels and achieving sales targets. Strong understanding of life science product offerings and their applications. Excellent communication, negotiation, and presentation skills. Ability to work independently and as part of a team in a fast-paced environment. Proficiency with CRM software and MS Office Suite (Excel, Word, PowerPoint). Pay Range for this position: $68,700 - $139,200 The offer range represents the anticipated low and high end of the base pay compensation for this position. The actual compensation offered will be determined by factors such as location, level of experience, education, skills, and other job-related factors. Position may be eligible for sales or performance-based bonuses. Benefits offered by the Company include health insurance, paid time off (PTO), retirement contributions, and other perquisites. For more information click here. RSREMD What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress! Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Posted 30+ days ago

DraftKings logo
DraftKingsLas Vegas, NV
At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours Our Sports Modeling team comprises sports modeling experts and data science technologists, coming together to develop innovative products that deliver incremental value across our Sportsbook platform. As a Senior Data Scientist on the Sports Modeling team, you will develop models and data-driven solutions that enhance the Sportsbook experience for our users. In this role, you will work on implementing advanced sports models, refining data assets, and ensuring seamless integration into applications. What you'll do as a Senior Data Scientist, Football Create statistical and machine learning models and integrate them into data science applications. Collect and engineer sports data assets to assist in model development. Implement the sports models and pricing engines in Python. Create automatic tests to ensure model and pricing engine accuracy. Collaborate closely with Trading, Product, Engineering, and QA teams to move projects from ideation to deployment. Test data flows and model integration in a larger business context. Coach and support more junior data scientists within the team. What you'll bring Demonstrated passion for sports and a strong understanding of relevant leagues and their dynamics. A college degree in Statistics, Data Science, Mathematics, Computer Science, Engineering, or another related field. Proficiency in Python, with experience building statistical or machine learning models across various sports. Solid grasp of data science principles, statistical modeling techniques, and object-oriented programming concepts. Familiarity with tools and practices such as Kubernetes, Kafka, version control, and MLOps principles. Self-motivation and eagerness to expand knowledge and understanding of Sportsbook products and related technologies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Posted 30+ days ago

M logo

Spring 2026- Data Science Analyst Co-Op (6 Months)

MFS InvestmentsBoston, MA

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Job Description

At MFS, you will find a culture that supports you in doing what you do best. Our employees work together to reach better outcomes, favoring the strongest idea over the strongest individual. We put people first and demonstrate care and compassion for our community and each other. Because what we do matters - to us as valued professionals and to the millions of people and institutions who rely on us to help them build more secure and prosperous futures.

Data Scientist Analyst Co-op

MFS is a global investment management firm focused on creating long-term value responsibly by doing what's right for our clients every day. Our rich history dates to 1924, when our founders invented the mutual fund. Since then, collaboration and innovation have fueled our success. Our unwavering commitment to finding the best, most durable investment opportunities is what sets us apart - and our success is grounded in our unique approach, disciplined philosophy and collaborative culture.

THE ROLE

Joining our team provides opportunities to share your voice and talents, tackle challenging problems, create solutions and collaborate with dedicated co-workers. This Co-op experience provides participants with meaningful, relevant work experience as part of their academic studies. In addition to daily responsibilities, participants will have the opportunity to participate in a series of structured activities designed to enhance their learning experience including:

  • Co-op New Hire Orientation
  • Senior Leadership Speaker Series
  • Social & Networking Events
  • Presentation Challenges

At the conclusion of this position, co-ops will have increased their knowledge of investing, the mutual fund industry, employee engagement, and a firm understanding of how information technology works at an asset manager.

MFS co-op positions are a 6-month commitment, working Monday- Friday (January 6th through June 26th, 2026), and work between 35-40 hours. Our program is designed for undergraduate and graduate students who are currently enrolled in a co-op program through their college or university and can meet our requirements.

JOB SUMMARY

The Data Scientist Analyst Co-op position involves working as part of a dynamic team of Data Scientists, Sales Strategists, and Market Data Analysts within the Technology and Distribution departments. This team works with internal business partners within Distribution to develop models and provide analytics to improve decision-making.

WHAT YOU WILL DO

Primary functions include, but are not limited to:

Working with domain specialists in Distribution and Technology to integrate business needs with data analytics technology solutions. These solutions will be delivered by:

a. Defining the problem and identifying business requirements.

b. Identifying, collecting, loading, and preparing the data.

c. Building analytical models using descriptive, predictive and other advanced analytical techniques on transformed data sets.

d. Analyzing and interpreting the results of the analytical models

e. Designing and implementing data analytics pipeline into production environment

e. Communicating results clearly and concisely using visual formats.

  1. Working with other Data Scientists and Technology domain specialists to identify opportunities and deliver novel process improvements to the Distribution business units, leveraging:

a.Data from internal systems including CRM, Sales, and MFS.com

b.Third-Party Market Data

c.Other identified data sets as required

WHAT WE ARE LOOKING FOR

  • Pursuing a Bachelor's or Master's degree in a related area. Data Science, Statistics, Computer Science, Mathematics, Economics, Analytics, or Applied Mathematics are preferred.
  • Experience in applying Advanced Analytics and/or Data Science Modeling Techniques. This could be project experience as part of a class or work experience
  • Strong expertise utilizing Python for machine learning and statistical analysis with object-oriented code structure
  • Basic knowledge of the following- Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing)
  • Comfort manipulating and analyzing data in various formats. Experience with complex, high-volume, high-dimensionality data from varying sources is a plus.
  • Understanding Generative AI capabilities as well as prompt formatting
  • Understanding of relational, XML and NoSQL database models with and associated data access methods (SQL)
  • Strong communication skills
  • Proven analytical skills and demonstrated ability to take initiative and help with developing creative solutions to meet business needs
  • Experience working on a team, preferably on projects

If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance.

MFS is an Affirmative Action and Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited.

#LI-HYBRID

MFS is a hybrid work environment (remote/onsite) unless otherwise stated in the job posting.

If any applicant is unable to complete an application or respond to a job opening because of a disability, please contact MFS at 617-954-5000 or email talent_acquisition@mfs.com for assistance.

MFS is an Equal Opportunity Employer and it is our policy to not discriminate against any employee or applicant for employment because of race, color, religion, sex, national origin, age, marital status, sexual orientation, gender identity, genetic information, disability, veteran status, or any other status protected by federal, state or local laws. Employees and applicants of MFS will not be subject to harassment on the basis of their status. Additionally, retaliation, including intimidation, threats, or coercion, because an employee or applicant has objected to discrimination, engaged or may engage in filing a complaint, assisted in a review, investigation, or hearing or have otherwise sought to obtain their legal rights under any Federal, State, or local EEO law is prohibited. Please see the Know Your Rights: Workplace Discrimination is Illegal document, linked for your reference.

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