Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

PLEASE NOTE: This role requires the candidate to be in or near Charlotte, NC. In-office presence is required three days a week. Additionally, this position does not offer visa sponsorship.* The POSITION The Manager, Data Science will lead a team of data scientists to design, develop, and deploy models that drive measurable business outcomes across LendingTree. This role combines technical leadership with strategic oversight - ensuring scientific rigor, operational excellence, and cross-functional impact. You will play a key role in helping shape the team direction, mentoring talent, and collaborating with engineering, product, analytics, and business stakeholders to deliver scalable, high-quality data science/AI solutions. The ideal candidate is equally comfortable discussing model architectures, business tradeoffs, and team development strategies. KEY RESPONSIBILITIES Leadership & Strategy: Lead, mentor, and develop a team of data scientists, fostering technical excellence and growth. Collaborate with senior stakeholders to identify and prioritize opportunities where machine learning and AI can deliver value. Promote best practices in experimentation, modeling, validation, and monitoring to ensure robust, production-grade solutions. Model Development & Delivery: Oversee the design, development, and deployment of data science models, ensuring scalability, reproducibility, and operational performance. Guide the team through data acquisition, feature engineering, and model lifecycle management from prototype to production. Partner with MLOps and engineering to streamline workflows and monitor models in production environments. Review and enhance model documentation, testing, and versioning standards. Technical Expertise: Apply expertise in Python, SQL, and ML frameworks (Scikit-learn, PyTorch, TensorFlow, etc.) to provide hands-on guidance where needed. Lead code reviews and establish quality control standards for data science deliverables. Champion explainability, fairness, and reliability in all model-driven solutions. Stakeholder Engagement & Communication: Translate complex analytical findings into actionable business insights for diverse audiences. Collaborate closely with Analytics, Product, and Platform leaders to integrate data-driven decision-making into products and operations. Drive alignment across business units to ensure models address real-world needs and deliver measurable impact. QUALIFICATIONS Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics, or a related field (PhD a plus). 7+ years of experience in applied data science, with experience in a leadership or people management role. Proven ability to lead teams through full ML lifecycle - data preparation, modeling, validation, deployment, and monitoring. Advanced proficiency in Python, SQL, and data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow). Experience with cloud-based ML platforms (AWS SageMaker or Snowpark preferred). Solid understanding of ML Ops, reproducibility, and governance practices. Strong analytical, organizational, and problem-solving skills with a track record of business impact. Excellent written and verbal communication skills; capable of influencing technical and executive audiences. NICE TO HAVE Experience in fin-tech or other data-rich, high-scale consumer businesses. Background in software engineering, model deployment, or data platform integration. Experience managing hybrid teams (on-site and remote). In depth knowledge and experience in leveraging GenAI & LLM capabilities, building Retrieval Augmented Generation/agentic workflows preferred ABOUT LENDINGTREE LendingTree is the nation's leading online lending marketplace. We connect consumers with multiple lenders so they can easily compare options and find the right fit - from mortgages and personal loans to credit, savings, and insurance products. Our founder, Doug Lebda, started LendingTree in 1996 after his own frustrating house-hunting experience. What began as a simple idea to make loan shopping easier has grown into a platform that empowers millions of people to make smarter financial decisions every day. What else you should know: We're a publicly traded company (NASDAQ: TREE). We've welcomed several other companies into the LendingTree family to expand our reach and capabilities. We've built the LendingTree app and My LendingTree dashboard to give consumers tools to manage and monitor their financial health. We're also committed to giving back - through philanthropic programs, volunteer opportunities, and partnerships that strengthen the communities where we live and work. Incentive Compensation: Annual bonus opportunity Benefits: Medical, dental, vision insurance, 401(k) matching, life insurance, pet insurance, and a competitive PTO (paid time off) policy The base pay range for this position in Seattle/New York/Colorado/California is $180,000-$210,000 however, base pay offered may vary depending on internal factors, job-related knowledge, and experience. OUR CULTURE We're a collaborative, entrepreneurial team that values curiosity, creativity, and getting things done together. Our teammates are some of the brightest, most driven people you'll meet - and we celebrate innovation, inclusion, and ownership. At LendingTree, you'll find an inclusive culture where diverse perspectives make us stronger. We believe in working hard and supporting one another - with the flexibility and trust that help you thrive both personally and professionally. We're proud to offer generous benefits, wellness programs, and time-off policies designed to help you recharge, stay healthy, and bring your best self to work every day. And yes - we still have fun doing it (our "GSD - Get Stuff Done" award is a fan favorite!) Come grow with us, make an impact, and be part of a company that truly cares about its people and its community. LendingTree is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion (or creed), gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status. CCPA Disclosure

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in the lending space. Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Position Overview The Data Science Actuary is a qualified actuary with advanced analytics capabilities and visionary leader in our Americas Data Solutions team. In this pivotal role, you will harness cutting-edge predictive modeling techniques and first-class data assets to tackle complex challenges unique to the global reinsurance sector, directly impacting RGA's mission of making financial protection accessible and reliable. As a trusted architect of transformational solutions, you will spearhead cross-functional initiatives, set the standard for technical excellence, and collaborate closely with RGA's senior leadership to shape and execute a data science strategy that drives business growth and redefines what's possible for our clients and partners worldwide. Responsibilities Strategic Solution Architecture: Spearhead the end-to-end design and architecture of sophisticated predictive models tailored to address the unique challenges and opportunities in the reinsurance sector. This includes leading statistical modeling initiatives and integrating these solutions into critical business functions like pricing, risk assessment, claims analytics, and customer engagement. Ensure that model architectures are robust, secure, and optimized for both performance and interpretability, while aligning with RGA's strategic objectives and compliance requirements. Technical Leadership & Mentorship: Provide hands-on technical leadership by setting high standards for analytical rigor and solution quality. Mentor and coach both senior and junior data scientist actuaries, offering guidance on advanced modeling techniques, code review, and project management best practices. Foster a collaborative and innovative team environment that encourages knowledge sharing, continuous learning, and the adoption of new tools and methodologies. Lead technical deep-dives and problem-solving sessions to address the most complex analytical challenges faced by the team. Cross-Functional Leadership: Oversee and coordinate large-scale, cross-functional projects that require collaboration across diverse groups such as Actuarial, Underwriting, IT, Legal, and Operations. Develop and maintain project plans, set clear deliverables, and facilitate effective communication among stakeholders to ensure alignment on project goals and timelines. Proactively identify and resolve conflicts or bottlenecks, ensuring that projects are executed efficiently and deliver measurable business impact. Innovation & Strategy: Act as a catalyst for innovation by proactively scouting, evaluating, and piloting emerging modeling techniques and technologies relevant to the reinsurance industry. Lead the identification of new use cases, prototype novel solutions, and conduct feasibility studies. Recommend and implement best practices for integrating advanced analytics into business processes, and contribute to the development and ongoing refinement of the data science team's strategic roadmap. Share insights and learnings through presentations, white papers, and thought leadership within and beyond the organization. Governance & Best Practices: Develop, document, and enforce best practices for data analysis, model development, and model governance. This includes establishing protocols for model validation, monitoring, versioning, and lifecycle management, as well as ensuring compliance with ethical standards and regulatory requirements. Oversee the creation and maintenance of comprehensive technical documentation to support transparency, reproducibility, and knowledge transfer across the team and organization. Senior Stakeholder Management: Build and maintain strong partnerships with senior business leaders to understand strategic priorities, identify and prioritize high-impact analytical opportunities, and drive the adoption of data-driven solutions. Communicate complex technical concepts in clear, actionable terms tailored to both technical and non-technical audiences. Lead negotiations and change management efforts to overcome resistance and ensure successful implementation and value realization of new data science initiatives. Domain Expertise: Apply deep subject matter expertise in life and health reinsurance-including domains such as mortality, morbidity, underwriting, and claims-to inform the design and interpretation of predictive models. Ensure that all analytical solutions are contextually relevant, aligned with industry best practices, and capable of addressing real-world business problems. Serve as a key resource for translating business needs into technical requirements and for validating model outputs against domain benchmarks and regulatory standards. Requirements Bachelor's degree in Mathematics, Finance, Statistics, Actuarial Science, or related field FSA Accreditation 7+ years of actuarial experience 3+ years statistical modeling experience for insurance or related applications (GLM, Decision Trees, Time Series, Regression, etc.) Quantitative Skills: Possesses expert-level knowledge in a wide range of statistical modeling techniques, including regression analysis, classification, clustering, time series forecasting, and survival analysis. Possesses expert-level knowledge of traditional actuarial analysis, including multivariate analysis, experience studies, pricing, and valuation. Strong ability to apply advanced analytics techniques to traditional actuarial problems. Technical Skills: Exhibits deep, hands-on expertise in programming languages such as Python and R for data analysis, machine learning, and automation. Highly proficient in SQL for complex data extraction, transformation, and loading (ETL) processes. Problem-Solving: Demonstrated ability to approach highly complex and ambiguous problems with creativity and rigor. Skilled at framing business challenges as analytical questions, designing innovative solutions that may lack existing precedent, and validating approaches through experimentation and stakeholder feedback. Adept at balancing technical feasibility with business impact to deliver actionable insights. Communication & Negotiation: Exceptional written and verbal communication skills, with the ability to distill complex technical concepts into clear, compelling narratives for both technical and non-technical audiences. Experienced in presenting findings to senior leadership, influencing decision-making, and negotiating with external partners to drive alignment and adoption of data-driven strategies. Skilled at facilitating cross-functional discussions and overcoming resistance to change. Leadership: Demonstrated success in leading and inspiring cross-functional teams of data scientists, engineers, actuaries, and business stakeholders. Adept at managing projects from initial concept through to production deployment, ensuring alignment with organizational goals and timelines. Committed to mentoring and developing junior data scientist actuaries, fostering a collaborative and innovative team environment. Business Acumen: Strong understanding of reinsurance treaty structures, risk assessment, and underwriting processes, with the ability to apply actuarial concepts to inform data science solutions. Experienced in quantifying and articulating the business value of analytics initiatives, translating technical outputs into actionable business recommendations that drive profitability and operational efficiency. Preferred Master's or Ph.D. in Data Science, Computer Science, Statistics, Actuarial Science, Mathematics, or a related quantitative field. Publications or presentations in relevant data science, actuarial, or industry conferences. Experience working with Databricks, Snowflake, and AWS tech stacks. Experience working with data visualizations tools, such as Power BI, Sigma, Tableau Experience working with large longitudinal datasets using actuarial methods of analysis Demonstrated ability to deploy scalable models in cloud environments such as AWS, Azure, and Databricks, including the use of containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for robust production deployments. #LI-REMOTE #LI-SP2 What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. We're excited to get to know you and connect your unique skills with our global opportunities. To create a modern and seamless experience, we use artificial intelligence (AI) in parts of our preliminary screening process. This technology helps us personalize job recommendations, automate interview scheduling, evaluate candidates based solely on experience-without considering name, gender, or other personal details-and provide real-time answers through our chatbot. AI is used only during early screening and never makes hiring decisions. Your RGA recruiter will work closely with you every step of the way to ensure the process feels personal, thoughtful, and focused on you. Compensation Range: $135,850.00 - $207,700.00 Annual Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

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.

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. As a Principal AI & Data Science Client Lead you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Key Responsibilities Strategic Growth & Executive Partnership Lead a $10M+ portfolio with full P&L accountability driving sustainable revenue growth, margin improvement, and delivery excellence. Partner with CxO and VP-level stakeholders across the top 20 global pharma clients to define AI/ML strategies that enable data-driven decisioning and competitive differentiation. Shape multi-year transformation roadmaps aligned with client business priorities in brand strategy, market access, patient engagement, and medical excellence. Influence account strategy, co-investment initiatives, and alliance partnerships to unlock enterprise-scale value creation. Consultative Advisory & Enterprise Transformation Serve as an executive sponsor and trusted advisor , guiding clients through the design and adoption of modern data, analytics, and AI operating models. Translate complex data science concepts into actionable strategies that enhance commercial performance, improve patient insights, and accelerate innovation cycles. Oversee large-scale, cross-functional delivery programs—ensuring outcomes rooted in scientific rigor, operational scalability, and ethical AI. Direct the design and deployment of GenAI ecosystems (LLMs, RAG, agentic architectures) and predictive platforms powering next-generation decision intelligence. Innovation & Thought Leadership Shape the firm’s innovation agenda by leading the creation of agentic solutions , reusable AI frameworks, and domain-specific GenAI accelerators. Contribute to Axtria’s IP and market differentiation through published insights, executive forums, and platform development. Champion responsible AI principles—ensuring transparency, fairness, and patient-centricity in all AI-driven engagements. Capability Building & Global Leadership Build and lead a global network of AI/ML and GenAI professionals across the US, India, and EU, fostering a culture of innovation and excellence. Mentor emerging leaders, advancing technical and consultative capabilities within the organization. Drive a high-performance culture centered on continuous learning, measurable business value, and positive societal impact. Experience: 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare. Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field. Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth. Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics. Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP. Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks. Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value. Strong executive presence and ability to influence business, IT, and analytics functions. Exceptional track record in building global teams and delivering innovation at scale. Additional Details Hybrid work model (3 days onsite) Waltham, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.#LI-MHT1 Powered by JazzHR

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 35.00 - 46.00 in Massachusetts // 35.00 - 46.00 in California // 35.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Biotechnology is rewriting life as we know it, from the medicines we take, to the crops we grow, the materials we wear, and the household goods that we rely on every day. But moving at the new speed of science requires better technology. Benchling's mission is to unlock the power of biotechnology. The world's most innovative biotech companies use Benchling's R&D Cloud to power the development of breakthrough products and accelerate time to milestone and market. Come help us bring modern software to modern science. ROLE OVERVIEW We're looking for a player-coach to lead our small, but impactful Product Analytics & Data Science team. This role blends hands-on analytical work with people leadership, stakeholder management, and strategic prioritization. The ideal candidate will enjoy balancing deep dives into data with guiding and mentoring a small team of data professionals. You'll oversee a small team of experienced data engineers and help hire a new data analyst, while personally contributing to high-leverage data projects. You'll partner closely with Product, Customer Experience, Field, and Business Systems teams to connect product usage with customer value - helping Benchling serve both our internal stakeholders and external users more effectively. This role is suited to someone who enjoys operational stability, is energized by cross-functional collaboration, and can help advocate for data-driven work even when headcount and resources are limited but where sustained, meaningful impact is both possible and expected. RESPONSIBILITIES Lead and support a small, dedicated team of data engineers and analysts through mentorship, technical guidance, and priority setting. Roll up your sleeves to personally own and execute on key projects, especially those that cross organizational boundaries (e.g. customer success, field operations, and product). Define and maintain a roadmap of high-impact data work that supports both product insights and internal business operations. Serve as the connective tissue between product data and customer-facing teams by helping integrate insights across systems and functions. Collaborate closely with stakeholders to scope, prioritize, and execute analytical work in service of concrete business and product decisions. Champion data quality, documentation, and rigor across everything your team touches. QUALIFICATIONS 5+ years of relevant experience in data analytics or data science, including fluency with tools like SQL, Python or R, and cloud data environments. 3+ years of experience managing individual contributors. You've led small teams and are comfortable balancing hands-on work with people management. You excel at stakeholder management, particularly in navigating competing priorities and advocating for data-informed work. You're comfortable working within constraints and know how to drive meaningful progress in low-investment environments. You enjoy translating complex data into actionable insights and take pride in making systems and people work better together. Bonus: Experience working in or with life sciences R&D and/or enterprise SaaS organizations. HOW WE WORK We offer a flexible hybrid work arrangement that prioritizes in-office collaboration. Employees are expected to be on-site 3 days per week (Monday, Tuesday, and Thursday). SALARY RANGE Benchling takes a market-based approach to pay. The candidate's starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and work location. For this role the base salary range is $191,250 - $258,750. Total Compensation includes the following: Competitive total rewards package Broad range of medical, dental, and vision plans for employees and their dependents Fertility healthcare and family-forming benefits Four months of fully paid parental leave 401(k) + Employer Match Commuter benefits for in-office employees and a generous home office set up stipend for remote employees Mental health benefits, including therapy and coaching, for employees and their dependents Monthly Wellness stipend Learning and development stipend Generous and flexible vacation Company-wide Winter holiday shutdown Sabbaticals for 5-year and 10-year anniversaries #LI-Hybrid #BI-Hybrid #LI-EN1 Benchling welcomes everyone. We believe diversity enriches our team so we hire people with a wide range of identities, backgrounds, and experiences. We are an equal opportunity employer. That means we don't discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We also consider for employment qualified applicants with arrest and conviction records, consistent with applicable federal, state and local law, including but not limited to the San Francisco Fair Chance Ordinance.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is an on-demand manufacturing marketplace that leverages machine learning (ML) techniques to predict the manufacturing cost of machined parts and produce automated buy it now prices on Xometry.com. Customers love our instant quoting engine, and that engine depends on Xometry’s ML team and technology. We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry’s business. The successful candidate will bring experience as a data scientist and machine learning leader working for a company where “AI” is considered core to the company's success. They should have experience bringing new ML models to the market as part of an online platform. They should be comfortable leading a technical team, working with product and executive stakeholders with excellent communication and stakeholder management skills - particularly when bridging technical and non-technical audiences. We have a lot of ideas on how we can improve these systems. We need help connecting these ideas to business metrics, prioritizing them with input from stakeholders into a roadmap, executing efficiently from research to bringing ML models to market, and providing proactive communication on the vision/direction and status of the work. Responsibilities : Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry’s pricing strategy Build collaborative relationships with key stakeholders; set priorities aligned to business goals; communicate analysis, strategies, timelines, and work of the data science & machine learning team, and gain buy-in from executive leadership Incorporate internal and external feedback to iterate and evolve ML models Practice outcome-oriented/KPI-driven team management: Define metrics that lead to business goals and report on the outcomes of your efforts Lead complex, cross-team projects to deliver on our product & ML strategy, with a singular focus on driving business results Play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers. Responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations Monitor machine learning models and AI performance and troubleshoot issues as they arise Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively Qualifications 8+ years experience developing and implementing machine learning algorithms, ideally within an online marketplace Excellent understanding of scalable architectures and thrive working in Agile environments Recognized expertise in the areas of marketplace optimization and pricing theory Ability to apply and implement research concepts, ultimately in production quality code Experience defining clear, testable research hypotheses, including intended impact on the business Deep knowledge of design of experiments, online experimentation approaches at scale Ability to formulate and advocate for R&D objectives and results to multi-functional team members including executive business leadership and product management Experience with your machine learning models running in a real production environment Experience in end-to-end model development and deployment lifecycle i.e., from prototyping to model development and putting models into production Strong experience with Python/R, forecasting methodologies, machine learning and statistics, Experience with SQL and cloud technologies like Snowflake, Google BigQuery, Databricks, presto etc., Strong fluency in Python and SQL, experience with Tensorflow, PyTorch, Airflow and data warehouse PhD in a quantitative field (or BS/MS with equivalent work experience) Mission-driven, positive attitude, and ability to motivate others Must be a US citizen, green card holder, or a legal permanent resident of the United States #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a highly analytical and data-driven Senior Product Analyst with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. Responsibilities: Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics. Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights. KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms. Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders. Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements. Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership. Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation. Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices. Qualifications: Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline 6-8 years of relevant experience. Strong proficiency in data analysis, statistical modeling, and data visualization. Proven experience in designing, implementing, and analyzing A/B tests and other experiments. Solid understanding of statistical significance and hypothesis testing. SQL is a must. Python is nice to have. Any experience with Looker is also desirable. Knowledge of data science concepts and methodologies. Excellent communication and presentation skills, with the ability to explain complex data insights. Strong analytical and problem-solving skills. Experience working in a product-driven environment. Attention to detail and a commitment to data accuracy. The estimated base salary range for new hires into this role is $140,000 - 182,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we’re changing the way people think about and interact with personal finance. We’re a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we’re at the forefront. We’re proud to come to work every day knowing that what we do has a direct impact on people’s lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving SoFi’s ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you’ll do: Manage a team of Data Scientists supporting SoFi’s Personal Loans, Student Loans, and Home Loans businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and retain top talent Ensure that the team is operating in an agile and efficient manner Stay up-to-date on the latest AI/ML technologies Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions What you’ll need: Bachelor’s Degree in a technical field 7+ years of Data Science or Software Engineering experience 3+ years management experience Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company Experience with using Airflow and DBT to build Data Pipelines in Snowflake Strong programming skills in SQL and Python Experience with building data visualizations with Tableau, Looker or other BI tools Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders; Strong relationship building and collaborative skills; Exceptional problem-solving Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate’s experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise. Learn more at: C3 AI C3 AI is searching for brilliant and ambitious Data Scientist Interns to join our Summer 2026 cohort. This isn't just about running models; you'll be on the front lines, working with iconic global brands on their digital transformation. You will tackle massive, complex datasets to build the next generation of enterprise AI applications that deliver real-world results. As a Data Science Intern, you are a problem-solver and a strategist. You will dive deep into customer challenges, partnering with our expert data scientists, software engineers, and industry specialists. Your mission will be to design and deploy sophisticated machine learning algorithms—from predictive maintenance to fraud detection—at an enterprise scale using our revolutionary C3 AI Suite. You won't just analyze data; you'll turn it into intelligence that drives critical business decisions. Responsibilities: Drive adoption of Deep Learning systems into the next generation of C3 AI products Design and deploy Machine Learning algorithms for industrial applications such as fraud detection and predictive maintenance Collaborate with data and subject matter experts from C3 AI and its customer teams to seek, understand, validate, interpret, and correctly use new data elements Qualifications: Pursuing MS or PhD in Computer Science, Electrical Engineering, Statistics, or equivalent field Applied Machine Learning experience (regression and classification, supervised, and unsupervised learning) Experience with prototyping languages such as Python and R Strong mathematical background (linear algebra, calculus, probability, and statistics) Experience with scalable ML (MapReduce, streaming) Ability to drive a project and work both independently and in a team Smart, motivated, can-do attitude, and seeks to make a difference Proficient in spoken and written English Preferred Qualifications: Experience with JavaScript and Java Experience with time series and dynamical system A portfolio of projects (GitHub, papers, etc.) C3 AI provides excellent benefits and a competitive compensation package, which include: Salary range: $6,000 - $8,000 USD per month. At the office, we offer a fully stocked kitchen with catered lunches, a free on-site gym membership, Friday social hours with food, drinks, music, and plenty of opportunities to connect and network with your team. C3 AI is proud to be an Equal Opportunity and Affirmative Action Employer. We do not discriminate on the basis of any legally protected characteristics, including disabled and veteran status.

To instruct transfer courses, the candidate must hold a Master's degree in that discipline or a Master's degree in another discipline plus 18 graduate hours in the particular discipline to be taught. Biology Early Childhood Education Chemistry Math Psychology Physics - Physical Science Sociology Nutrition Physical Education Education RESPONSIBILITIES: Essential Functions - Teach assigned courses in one of the above listed disciplines. Plan and implement appropriate activities to supplement instruction. Maintain records and files as requested by the department, including submitting grade sheets in a timely manner. Logon to the learning management system daily, respond to emails regularly and successfully complete the responsibilities of the position. Arrive on time for work, attend work regularly, and successfully complete the responsibilities of the position. Comply with HutchCC policies, procedures and practices. Secondary - Perform other responsibilities as assigned. QUALIFICATIONS: To instruct transfer courses, a Master's degree in discipline is required or a Master's degree in another field may be considered in addition to a minimum of 18 graduate credits in discipline for which hired. College teaching experience preferred. Ability and willingness to teach via alternative delivery systems. Ability to develop and maintain effective professional relationships. Ability to communicate professionally with individuals from diverse ethnic, racial, socioeconomic, gender and disabilities populations. Physical requirements include: excellent written, verbal and listening communication skills; ability to understand words and respond effectively and appropriately; visual acuity to view a computer terminal; use appropriate judgment and apply tact and courtesy in difficult situations; light/indoor work environment. Mental requirements include the ability to learn and comprehend basic instructions about the position. Physical and mental qualifications must be performed with or without a reasonable accommodation. The qualifications listed are guidelines for selection purposes; alternative qualifications may be substituted if sufficient to perform the duties. SALARY and STATUS: The salary is based on the part-time faculty compensation plan. This part-time position is not benefit eligible; exempt. APPLICATION: If you have questions regarding this position, please submit an email that contains your questions to: hrinfo@hutchcc.edu Each application shall remain on file for one year from date of application. Each applicant should understand that a position may not be available at this time and an application may be considered for potential future positions. The hired candidate will be required to submit official, non-issued to student, transcripts. HUTCHINSON COMMUNITY COLLEGE - IS AN EQUAL OPPORTUNITY EMPLOYER To view the HutchCC Non-Discrimination Notice, please visit www.hutchcc.edu HutchCC reserves the right to revise job responsibilities as needed. This position announcement does not constitute a written or implied contract of employment; rather, it is a clarification of the responsibilities of the position. This job description may be changed at any time by the HutchCC Administration.

Summary: The Medical Science Liaison / Sr. Medical Science Liaison will interact with pulmonary hypertension thought leaders, clinicians, and relevant support staff, and decision makers to communicate and advance the scientific platform as aligned with Gossamer's corporate goals and objectives. This role is a field based position in the PAH and PH-ILD therapeutic areas within Gossamer Medical Affairs. The MSL / Sr MSL is an integral position in assuring accurate, clear and valued information regarding the scientific platform is communicated to multiple levels within the medical community. The successful MSL / Sr MSL will communicate complex cutting-edge scientific information and research concepts to healthcare decision makers including, but not limited to, those at academic medical centers. ESSENTIAL DUTIES AND RESPONSIBILITIES Develop and maintain business relationships with principle investigators, key opinion leaders, and other external experts. Demonstrate deep scientific expertise with respect to pipeline and overall therapeutic areas to exchange relevant information and insights with external stakeholders. Support the education and training of site research staff on clinical protocols and scientific rationale in partnership with the Clinical Operations Team. Identify key national and regional thought leaders and any other external experts of interest (i.e., patient advocacy groups, digital opinion leaders, new investigators, up and comers, nurse coordinators, etc.) Help coordinate scientific education to external stakeholders (patient advocacy groups and other experts within the specific disease areas). Coordinate with internal stakeholders to support HCP education in support of patients. Participate in the collection and exchange of scientific/technical information important to development efforts and patient needs. Distill feedback received from HCPs into meaningful insights that provide internal stakeholders with data to leverage cross-functional strategies. Participate in the development of medical materials that reflect the highest standard of quality (i.e., material accurately referenced, correctly interpreted, communicated appropriately). Provide guidance to researchers on the process for submitting investigator-initiated study (IIS) protocols and communicate Gossamer's review process for submissions. Represent the organization at major meetings and Congresses; staff the Gossamer Medical Affairs Booth; attend assigned sessions/symposiums/view posters and develop a synopsis of need-to-know information to share with internal stakeholders. Provide clinical & economic value information to payers and formulary decision makers. Assist in the development of strategic KOL plans to provide needs-based, value-added services; Provide relevant medical and scientific information and literature, within corporate guidelines, for healthcare provider education; Provide field-based medical and scientific support to answer unsolicited questions about Gossamer, seralutinib, PAH, and PH-ILD. Serve as a local scientific resource for the medical community in PAH and PH-ILD. Deliver high quality educational presentations in a variety of settings and obtain feedback that can be disseminated throughout the organization. Participate in therapeutic advisory groups and internal project teams, as appropriate; Gather and disseminate competitive intelligence from multiple sources. Attend national and regional conferences on Gossamer's behalf to provide feedback on current landscape, competitive landscape and continued cultivation of relationships. Complete accurate and timely administrative reports, projects, and other required documentation. Seek out opportunities to support the MSL value proposition, achieve results and set an example for others to follow by consistently demonstrating Gossamer's values. Model openness and innovation through words, actions, and decisions. JOB QUALIFICATIONS Advanced scientific degree or clinical degree (Ph.D., Pharm.D., DNP, MD, DO preferred). 2+ years of experience as an MSL preferred; 5+ years' experience as an MSL required for senior level. 3-5 years' experience within PAH and/or PH-ILD strongly preferred; cardiovascular, pulmonary, heart/lung transplant, or critical care experience considered. Clinical trial experience. Experience with key customer relationship building and expanding a company's reach. Adaptability to changing landscape and ability to pivot quickly as new information becomes available. Must be willing to travel extensively and occasionally on weekends. Adaptability to changing landscape and ability to pivot quickly as new information becomes available. Ability to cultivate and maintain relationships with clinical investigators and thought leaders and to establish trust through consistent demonstration of scientific expertise and satisfactory follow-through to requests from external partners. Ability to manage timelines, multiple priorities under tie constraints. Aptitude to develop technical expertise in new therapeutic areas. Strong analytical and problem-solving skills. Ability to work effectively in a cross-functional environment. Strong leadership skills and the ability to compile and disseminate information to others in a cohesive fashion to assure a clear understanding of project status and direction. Excellent communicator, skilled at diplomacy and capable of effectively combining science and relationship building. Office environment / Domestic and International travel up to 75% may be necessary. Territory encompasses a broad geographical area across North America (The exact boundaries may vary depending on the final hired MSLs). 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.

Position Title Assistant Professor and Program Director for the Computer Science (Master of Science) Program Posting Date August 2024 Closing Date Open Until Filled- To be hired for Spring 2025 Job Type Full time faculty appointment with 12-month teaching contract Internal Category Faculty Position Purpose This position will enhance program strength, course offerings, academic advising, and student opportunities. Successful candidates will show the ability to design and assess curriculum plans that foster rigorous student learning and engagement while enhancing the necessary skills required in adult hybrid (partially online) learners, such as writing and communication. This position carries a full load of graduate computer science courses each semester. Location These courses are taught in a hybrid format requiring in-person time on the main campus in Lebanon, TN one weekend during the 8-week term. Knowledge, Skills And Abilities Strong research and work experience profile in information technology or management with a track record of publications in acknowledged publication channels Plans to conduct high-level research internally and job training externally with students to enhance their competence in the field. Engage in class and student assessment while maintaining all necessary paperwork and records based on Program Director requirements Collaborate with colleagues both internally and externally to advance program year-over-year Show evidence of successful supervision of field experiences Demonstrate interpersonal/intrapersonal skills, especially in engaging with non-traditional and online university students Evidence of high level of personal agency and initiative Demonstrate organizational skills for curriculum management and program design including analysis of data for continuous improvement Possess ability to contribute positively to a dynamic setting with collaborative faculty Experience Documentation of successful experience as a graduate professor or undergraduate professor for computer science related courses, and preferably to have leadership experiences and publications in the field Evidence of successful career in related field Experience and network in the Middle Tennessee region preferred, but not necessary Education Terminal Degree in Computer Science or a closely related field. Application Requirements Please upload your cover letter, curriculum vitae, philosophy of teaching, unofficial graduate transcripts, and 5 references.

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the Department of Mathematical and Computational Sciences at Marian University in Indianapolis, IN seeks interested practitioners for the position of Professor of Practice in Computer Science to promote our Catholic Franciscan mission and identity by demonstrating academic excellence and the potential for distinctive contributions to the holistic development of students. Applicants with any level of Computer Science education, at least 5 years of work experience, and a passion for undergraduate teaching are invited to apply. Area of specialization is open, but candidates should be able to assist the department in one or more of the following areas: Data Structures and Algorithms, Computer Graphics, Operating Systems, Programming Languages, Computer Architecture, Information Technology, and Database Systems. Professors of Practice will also facilitate relationships with their full-time employer for undergraduate project and internship opportunities. Appointments may begin as early as January 2024. Specific courses and academic terms to be determined by the Chair of Mathematical and Computational Sciences based on instructional need. The Department of Mathematical and Computational Science at Marian University is a collaborative academic community committed to fostering student engagement, problem solving, and communication. The department offers degrees in both Mathematics and Computer Science in order to develop transformative leaders for service to the world in a variety of areas of business, government, and education. The department recognizes the breadth of people, thought, and experience that contribute to research, education, and related professions in the mathematical sciences. We welcome everyone interested in mathematics, statistics, computer science, and related fields as we work to build a community that is diverse, respectful, accessible, and inclusive. We are committed to ensuring equitable access to opportunities and resources for people of any race, ethnicity, religious belief, gender identity, age, economic background, disability status, or any other social or physical component of their identity. Through our curriculum, our classrooms, our scholarship, our outreach to the community, and ourselves, we seek to acknowledge and carefully address existing biases, barriers, and uses and abuses of power and privilege. This commitment to reducing discrimination and promoting diversity and inclusion is rooted in the Franciscan Values of Marian University, which make social justice an indispensable part of our calling. Essential Duties and Responsibilities: Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies. Teach up to one course per semester by arrangement with the Chair of Mathematical and Computational Sciences and the Computer Science faculty. Provide connectivity with The Exchange toward internship and employment opportunities in the field. Engage in research, scholarship, and other professional activities. Mentor students through projects, research, and internship opportunities as able. Required Qualifications: A Bachelor's Degree or higher in Computers Science. 3+ years as a practicing computer scientist. Enthusiasm for experiential undergraduate education A commitment to diversity, equity, and inclusion that ensures all types of students can succeed. Review of applications will begin immediately and continue until the position is filled. For Consideration All Applications Require: Cover Letter Current resume or CV Contact information of three professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile. Responses to the supplementary mission & identity questions. Please Review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application: https://www.marian.edu/faith Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.

Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain’s biggest problems so patients and their loved ones can flourish. For more information, please visit us at www.axsome.com and follow us on LinkedIn and X . About This Role The Medical Science Liaison (MSL) will be a key member of the Field Medical Affairs team at Axsome. This position will be the primary communicator of Axsome science and will be responsible for executing the national medical affairs plan within a specified territory. The MSL will also provide support as needed for other pipeline programs. This is a field-based position covering the West Region (CA, NV, HI). Candidates must reside within the geography. Job Responsibilities and Duties include, but are not limited to, the following: Systematically identify and develop relationships with healthcare professionals (HCPs) and key opinion leaders (KOLs) to raise awareness of Axsome’s mission to accelerate the invention and adoption of life-changing medicines for patients living with CNS disorders Develop and maintain a deep knowledge and understanding of neuropsychiatry and approved pipeline medications as well as the competitive landscape in the specified therapeutic area Provide fair and balanced scientific information to HCPs and to internal business partners per organizational needs Upon request, provide formal presentations to HCPs, external stakeholders, etc. Communicate meaningful insights gleaned from peer-to-peer discussions with HCPs Identify, analyze, and translate specific needs within the territory to achieve clinical and business objectives Collaborate with internal partners, as appropriate, to advance clinical and business objectives Build and maintain technical and clinical expertise in neuropsychiatry and across other neuroscience therapeutic areas as required Actively contribute to the growth and development of the National Field Medical Team Execute key job functions, including documentation of field activities, submission of medical insights, completion of medical information requests, expense report submission, required trainings, and other tasks as necessary Provide high level support for company sponsored trials and aide in navigating investigator-initiated research proposals through the review process when needed Requirements and Qualifications Advanced degree: MD, PharmD, or PhD required Previous MSL experience is required Preference for candidates with Psychiatry experience Candidate must reside within the geographic area Ability to travel up to 50-75%, including overnight stays and weekend, as needed Meet requirements for health industry representative credentialing to gain access to healthcare facilities within the territory Experience and Knowledge Ability to thrive in an entrepreneurial and autonomous environment where business needs may rapidly evolve and change Strong attention to detail and excellent organization skills Strong interpersonal skills and communication skills (both written and oral) Comfortable multi-tasking in a fast-paced company environment and able to adjust workload based upon changing priorities Demonstrated leadership among MSL peers and cross-functional partners Proactive in communication to leadership Ability to contribute to the overall field medical strategy Salary & Benefits The anticipated salary range for this role is $150,000 - $200,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity, and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity, and a generous benefits package. Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law. Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The impact that a MSL will have to the organization include the following: a) as representatives of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products; provide a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products; and c) provide corporate value through demonstrated leadership and participation in strategic thinking. Job Description Job Summary The Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (healthcare providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan. The MSL/Sr. MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The MSL/Sr. MSL will assume a leadership role by teaching, coaching and mentoring new or less experienced MSLs and by assuming responsibility for special projects as they arise. The impact that a MSL/Sr. MSL will have on the organization includes the following: a) as a representative of Eisai, the MSL/Sr. MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products, and c) provide corporate value through demonstrated leadership and participation in strategic thinking. Essential Functions Product/Therapeutic Area Support to External Stakeholders Act as the primary clinical/scientific resource to Healthcare Providers (HCPs) in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding. Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Share knowledge and participate in scientific exchanges and interactions with identified KOLs. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers, as requested. Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL/Sr. MSL activities, as required and assigned by the management. Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs. Develop, implement and present to management plans to support Medical Affairs strategic direction for assigned territory. Training/Education Resource Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data. Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives. Serve as technical/scientific subject matter resource to Eisai commercial personnel, if requested. Teach, coach and mentor new or less experienced MSLs; assist with supervision/performance evaluation; assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning. Research Support Facilitate review and follow up of submitted Investigator-Initiated Studies (IISs) and assist with Eisai sponsored trials. Serve as primary contact to external investigators who submit IISs. The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored post-marketing studies. Professional Organization Support Lead field medical efforts in support of Eisai's collaboration and interactions with professional organizations/societies & advocacy groups, as required. Educational Requirements Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). Experience For MSL 0-3 years of experience in the pharma/biotech industry/clinical pharmacist/research/ related experience in a scientific or clinical setting, preferably as MSL. For Sr. MSL, a minimum of 3 years MSL experience in Oncology/Hematology. Strong broad-based scientific and pharmaceutical knowledge. Clinical trial development and drug launch experience is strongly preferred. Knowledge of treatment guidelines, clinical research processes, FDA regulations and OIG guidelines are required. Knowledge and experience within Eisai desired therapeutic area(s) and ability to communicate with confidence and accuracy across multiple disease states. Established relationships with key opinion leaders and knowledge of institutions in therapeutic areas of interest. Other Skills and Abilities: Excellent presentation and teaching skills. Strong overall written and verbal communication skills. Demonstrated ability to assess issues and think strategically. Demonstrated ability and experience working cross-functionally. Demonstrated ability to anticipate, organize, plan and handle multiple changing priorities. Demonstrated ability to work independently and not requiring close supervision while adhering to Medical Affairs strategic direction. Ability and interest in coaching and mentoring less experienced MSLs. Ability to lead and motivate team members without a direct reporting relationship. Ability and interest in leading and participating in projects while effectively balancing projects with field work. Demonstrated ability to analyze complex situations and proactively identify opportunities/issues; effectively solve problems that cross functional boundaries. Committed to the concept of team and working within the framework of the Medical Affairs Department and Eisai organization, including as it pertains to compliance with policies, systems and practices. Sound computer skills including applications for word processing, producing slide materials and working with spreadsheets. Previous established relationships with KOLs in Oncology/Hematology. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for MSL is $144,300.00 - $189,400 USD Annual Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL), Oncology - DC, DE, MD and WV is from :$160,100-$210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Medical Science Liaison (MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (Health Care Providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The impact that a MSL will have to the organization include the following: a) as representatives of Eisai, a MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products; provide a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products; and c) provide corporate value through demonstrated leadership and participation in strategic thinking. Job Description Job Summary The Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL) is a field-facing representative of US Medical Affairs with a primary responsibility of engaging in the exchange of scientific data and other medical and/or scientific information with external customers (healthcare providers, researchers, professional organization leadership, and population-based decision makers) in the areas of Eisai's interest. The person in this position will demonstrate a thorough understanding of the customer's needs, issues and priorities as they relate to Eisai's strategic business plan. The MSL/Sr. MSL brings relevant insights from the field on research developments, treatment landscape and new concepts in medical treatment. The MSL/Sr. MSL will assume a leadership role by teaching, coaching and mentoring new or less experienced MSLs and by assuming responsibility for special projects as they arise. The impact that a MSL/Sr. MSL will have on the organization includes the following: a) as a representative of Eisai, the MSL/Sr. MSL will communicate key information about Eisai, the company and its hhc mission; b) provide key scientific and clinical information about Eisai's products; serve as a conduit for communication between Eisai Research and the medical community regarding ideas for future research with Eisai's products, and c) provide corporate value through demonstrated leadership and participation in strategic thinking. Essential Functions Product/Therapeutic Area Support to External Stakeholders Act as the primary clinical/scientific resource to Healthcare Providers (HCPs) in the territory for information pertaining to disease state and Eisai's product(s) to ensure awareness and understanding. Serve as a conduit for accurate and updated clinical, scientific and medical information between Key Opinion Leaders (KOLs)/investigators and the company's Medical Affairs and development groups. Establish, foster, cultivate and maintain peer relationships with KOLs in the therapeutic areas in which Eisai has current and future interests. Share knowledge and participate in scientific exchanges and interactions with identified KOLs. Present clinical, scientific and economic data on Eisai's products and relevant therapeutic areas to population-based decision-makers, as requested. Support assigned professional congresses in accordance with MSL plan. Be prepared to lead congress coverage efforts, including coordination of all MSL/Sr. MSL activities, as required and assigned by the management. Identify and report key scientific, clinical and research insights from KOLs to Medical Affairs. Develop, implement and present to management plans to support Medical Affairs strategic direction for assigned territory. Training/Education Resource Maintain and demonstrate thorough and up-to-date knowledge of disease state, study methodology, clinical information, and product data. Demonstrate full knowledge of and ability to execute on approved medical platforms/strategies and MSL initiatives. Serve as technical/scientific subject matter resource to Eisai commercial personnel, if requested. Teach, coach and mentor new or less experienced MSLs; assist with supervision/performance evaluation; assume responsibility for special projects. Provide valuable contributions to the organization including leadership and strategic planning. Research Support Facilitate review and follow up of submitted Investigator-Initiated Studies (IISs) and assist with Eisai sponsored trials. Serve as primary contact to external investigators who submit IISs. The MSL may also be involved with providing recommendations for site selection and scientific expertise to Investigators involved in company sponsored post-marketing studies. Professional Organization Support Lead field medical efforts in support of Eisai's collaboration and interactions with professional organizations/societies & advocacy groups, as required. Educational Requirements Requires an advanced, terminal Doctorate level (D-level) degree in medical or health sciences (e.g. MD, PhD, PharmD, DPH, EdD). Experience For MSL 0-3 years of experience in the pharma/biotech industry/clinical pharmacist/research/ related experience in a scientific or clinical setting, preferably as MSL. For Sr. MSL, a minimum of 3 years MSL experience in Oncology/Hematology. Strong broad-based scientific and pharmaceutical knowledge. Clinical trial development and drug launch experience is strongly preferred. Knowledge of treatment guidelines, clinical research processes, FDA regulations and OIG guidelines are required. Knowledge and experience within Eisai desired therapeutic area(s) and ability to communicate with confidence and accuracy across multiple disease states. Established relationships with key opinion leaders and knowledge of institutions in therapeutic areas of interest. Other Skills and Abilities: Excellent presentation and teaching skills. Strong overall written and verbal communication skills. Demonstrated ability to assess issues and think strategically. Demonstrated ability and experience working cross-functionally. Demonstrated ability to anticipate, organize, plan and handle multiple changing priorities. Demonstrated ability to work independently and not requiring close supervision while adhering to Medical Affairs strategic direction. Ability and interest in coaching and mentoring less experienced MSLs. Ability to lead and motivate team members without a direct reporting relationship. Ability and interest in leading and participating in projects while effectively balancing projects with field work. Demonstrated ability to analyze complex situations and proactively identify opportunities/issues; effectively solve problems that cross functional boundaries. Committed to the concept of team and working within the framework of the Medical Affairs Department and Eisai organization, including as it pertains to compliance with policies, systems and practices. Sound computer skills including applications for word processing, producing slide materials and working with spreadsheets. Previous established relationships with KOLs in Oncology/Hematology. Possesses an understanding of the pharmaceutical corporate environment and appreciation for commercial operations, including marketing and sales strategies. Capable of engaging in frequent business travel (approximately 60% of time), including air travel, ability to travel overnight and occasionally on weekends. Domestic and international travel may include spending time at cancer trial sites/institutions, conference center, offices and hotels. Possesses and maintains a valid driver's license. This is a field-based position. The employee is required to set up a home-based office. Salary range for MSL is $144,300.00 - $189,400 USD Annual Salary range for Sr. MSL is $160,100.00 - $210,100 USD Annual #LI-MI1 As a condition of employment and an essential function of this field-based position, applicants must be able to engage in person with HCPs and other third parties at their offices, institutions and other appropriate locations on a regular basis. In order to gain in-person access, applicants selected for the position may be required to complete third parties' credentialing and/or entry requirements, which often include an attestation to and/or providing proof of having received certain vaccinations. To the extent you are unable to meet certain requirements for qualifying medical (including pregnancy-related) or religious reasons, applicants must request a reasonable accommodation by contacting the Human Resources Department.Skills:Communication & Cross-functional Influence, Critical Thinking & Agility, Healthcare Environment Dynamics, KOL/ HCP Engagement, Medical Data and Insights, Mentoring, Resource Planning & Management, Territory Management (MSL) Eisai Salary Transparency Language: The annual base salary range for the Medical Science Liaison (MSL) / Senior Medical Science Liaison (Sr. MSL), Oncology - DC, DE, MD and WV is from :$160,100-$210,100 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit https://careers.eisai.com/us/en/compensation-and-benefits . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation

As a part of a diverse community of faculty and staff who represent many faith systems and worldviews, the Department of Mathematical and Computational Sciences at Marian University in Indianapolis, IN seeks interested Adjunct Faculty in Computer Science to promote our Catholic Franciscan mission and identity by demonstrating academic excellence and the potential for distinctive contributions to the holistic development of students. Applicants with any level of Computer Science education will be considered. Graduate coursework and a passion for undergraduate experience are preferred. Area of specialization is open, but candidates should be able to assist the department in one or more of the following areas: Data Structures and Algorithms, Computer Graphics, Operating Systems, Programming Languages, Computer Architecture, Information Technology, and Database Systems. Appointments may begin as early as January 2024. Specific courses and academic terms to be determined by the Chair of Mathematical and Computational Sciences based on instructional need. The Department of Mathematical and Computational Science at Marian University is a collaborative academic community committed to fostering student engagement, problem solving, and communication. The department offers degrees in both Mathematics and Computer Science in order to develop transformative leaders for service to the world in a variety of areas of business, government, and education. The department recognizes the breadth of people, thought, and experience that contribute to research, education, and related professions in the mathematical sciences. We welcome everyone interested in mathematics, statistics, computer science, and related fields as we work to build a community that is diverse, respectful, accessible, and inclusive. We are committed to ensuring equitable access to opportunities and resources for people of any race, ethnicity, religious belief, gender identity, age, economic background, disability status, or any other social or physical component of their identity. Through our curriculum, our classrooms, our scholarship, our outreach to the community, and ourselves, we seek to acknowledge and carefully address existing biases, barriers, and uses and abuses of power and privilege. This commitment to reducing discrimination and promoting diversity and inclusion is rooted in the Franciscan Values of Marian University, which make social justice an indispensable part of our calling. Essential Duties and Responsibilities: Actively engage the Catholic Franciscan mission and identity of Marian University by modeling the Franciscan Sponsorship Values and honoring the legacy of the founding congregation through transformative education, unity in diversity, leadership through service, integrating faith and life, and institutional policies. Teach one or more course(s) per semester by arrangement with the Chair of Mathematical and Computational Sciences and the Computer Science faculty. Collaborate closely with the Center for Academic Success and Engagement, Counseling Center, Campus Security and Support, Dining Services, Student Activities and Orientation, the Exchange, Athletics, Student Health Center and Campus Ministry to connect residents to on-campus resources and provide residents with support. Demonstrate cultural competence in race, ethnicity, gender, gender identity expression, sexual orientation, socioeconomic status, ability, ideology, religion, national origin, and other areas of diversity. Required Qualifications: A Bachelor's Degree or higher in Computer Science. Enthusiasm for experiential undergraduate education A commitment to diversity, equity, and inclusion that ensures all types of students can succeed. Review of applications will begin immediately and continue until the position is filled. For Consideration All Applications Require: Cover Letter Current resume or CV Contact information of two professional references. The reference contact information must be entered after the application is submitted in the "My Presence" section of the applicant profile. Responses to the supplementary mission & identity questions. Please Review Marian University's Mission & Identity Statement before responding to the supplementary questions on your application: https://www.marian.edu/faith Marian University is an Equal Opportunity Employer. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.