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Summary Data Science Senior Managers in GEICO's Pricing Department lead complex data analyses and development of pricing, econometric, statistical, and machine learning models to drive business decisions, identify actionable insights, and create specific business value through shared insights and analytic solutions. In this role, Senior Managers apply actuarial and analytics skills to forecast business results based on in-market and proposed rating plan changes and provide leaders with options for rating plan changes that are optimized based on changing business goals, regulations, and market conditions. Taken together, these functions provide leaders with information to improve business decision making and provide expectations that can be measured against when changes are made to GEICO's rating plans. Job Responsibilities Leads collaborations with State Management, Product Management, Finance, Technology, and Pricing to identify and define analytic initiatives, formulate strategies, design rating plan structural enhancements, and develop solutions to achieve business goals through effective use of data and pricing and machine learning models. Builds and manages a strong, agile team of technical analysts and data scientists and trains them in accessing and interpreting data, analytical methods, and business relevance. Develops strategic and tactical plans. Regularly reviews progress to plans and escalates issues and blockers. Monitors results against specific goals to ensure completion and business impacts are achieved. Interprets and communicates data findings and insights using visualization, formal presentations, written memos, and other appropriate formats. Develops and implements documentation, project management, coding, and development best practices within a team. Identifies appropriate actuarial, statistical, and machine learning methods for a collection of projects. Manages the identification, extraction, aggregation, and synthesizes of data using SQL, R, SAS, Python or other appropriate languages to enable analysis, model development, and solution deployment. Manages the application of actuarial and data science skills to analyze large, complex datasets and identify meaningful patterns that lead to actionable insights and data-driven solutions to business problems. Manages the discovery, analysis, evaluation, and adoption of new data, new uses for existing data, or new pricing and data science methods to improve the quality, efficiency, and business value of data and analytic solutions. Manages the building, testing, and validation of pricing, econometric, statistical, and machine learning models and analyses as part of overall solution development. Manages implementation of analytic solutions into reporting platforms or production systems by leading the solution design, development, testing, and monitoring. Candidate qualifications and skills 6+ years' industry experience in data science and insurance pricing/ratemaking roles, with a deep understanding of both. 3+ years leading a team of quantitative analysts or data scientists. Actuarial ACAS/FCAS, advanced degree in a quantitative discipline, or 4+ years' insurance industry experience in a leadership position. Excellent communication, facilitation, and coaching skills in a business context and as it applies to team and project management and communication to management and stakeholders Demonstrated experience in developing & executing a team development roadmap, influencing business decisions, and driving business value Working experience with predictive modeling, machine learning, experimental design, AB testing, and analytical modeling and data engineering tools such as R, Python, SQL, and Spark. Annual Salary $120,000-$240,000 Location This is a hybrid role, on-site 3 days per week from Chicago, IL, Chevy Chase, MD, or New York, NY. Annual Salary $0.00 - $0.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. At this time, GEICO will not sponsor a new applicant for employment authorization for this position. Benefits: As an Associate, you'll enjoy our Total Rewards Program* to help secure your financial future and preserve your health and well-being, including: Premier Medical, Dental and Vision Insurance with no waiting period Paid Vacation, Sick and Parental Leave 401(k) Plan Tuition Assistance Paid Training and Licensures Benefits may be different by location. Benefit eligibility requirements vary and may include length of service. Coverage begins on the date of hire. Must enroll in New Hire Benefits within 30 days of the date of hire for coverage to take effect. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Student Assistant, Data Science In the role of Student Assistant - Data Science at ASU Enterprise Partners, you will contribute to the development and productionization of prescriptive and predictive data products. These may include data analyses, dashboards, predictive models, queries, model deployments, and applications of large language models (LLMs). Drawing on your foundation in developing new capabilities and generating valuable insights, you will help uncover patterns in complex datasets and integrate practical solutions into our systems. Your work will focus on the creation of business value through applied solutions that drive meaningful change. Depending on your interests and experience, you may engage in data exploration, experimentation, and product development, or concentrate on operationalizing these solutions to ensure their effectiveness, scalability, and impact. As a key member of the Applied Data Science and Analytics (ADSA) team, you will collaborate closely with others to align efforts with business goals and deliver measurable value to stakeholders. This role offers a rewarding opportunity to apply and grow your skills in a practical setting while making a tangible impact. This position will require approximately 20 hours per week. This position is also approved by ASU ISSC for On-campus employment. What you'll do Data Product Contribution: Support the development and productionization of prescriptive and predictive data products, including analyses, dashboards, models, queries, and LLM-based applications. Data Exploration & Experimentation: Explore complex datasets and conduct experiments to uncover insights and inform novel approaches to decision-making. Applied Solution Design: Contribute to the design and implementation of data-driven solutions that create measurable business value and drive change. Operationalization: Assist in deploying and integrating data products into production environments, ensuring they are scalable, reliable, and actionable. Collaboration: Partner with members of the ADSA team to ensure alignment with business goals and stakeholder needs. Technology Utilization: Use tools such as BigQuery, BigQuery ML, Python, Vertex AI, and Colab Enterprise throughout the data product lifecycle. Monitoring & Iteration: Help monitor solution performance and support continuous improvement based on feedback and evolving requirements. Communication: Clearly communicate findings, progress, and recommendations through reports, visualizations, and presentations. What you'll need Technical Familiarity: Exposure to data science tools and programming languages such as Python, SQL, and notebooks (e.g., Jupyter, Colab). Applied Data Science Knowledge: Understanding of core data science techniques such as regression, classification, boosting, and deep learning, with an emphasis on their practical application. Deployment Awareness: Familiarity with concepts related to deploying data products, including input/output requirements, MLOps or DevOps practices, and cloud computing environments. Analytical Thinking: Ability to explore and interpret complex datasets, identify patterns, and contribute to experimentation and insight generation. Problem Solving: Demonstrated ability to approach challenges with creativity, critical thinking, and a willingness to learn new tools and concepts quickly. Quantitative Reasoning: Comfort working with quantitative data and applying statistical or computational methods to real-world problems. Communication Skills: Ability to communicate technical findings and recommendations clearly and effectively to both technical and non-technical audiences. Collaboration: Willingness to work as part of a team, contribute to shared goals, and engage with feedback in a constructive and iterative way. Relevant qualifications Currently enrolled in a Bachelor's, Master's, or Graduate program at Arizona State University in a quantitative or technical discipline, such as Computer Science, Statistics, Mathematics, Economics, Physics, Neuroscience, or a related field. Has completed relevant coursework in areas such as statistics, data analysis, programming, machine learning, or related topics that support applied data science work. Preferred education and experience Completion of an internship or project-based experience in a relevant area such as data science, data analytics, data engineering, or machine learning engineering. Experience with deploying data solutions, preferably using cloud-based platforms such as Google Cloud Platform (GCP), Amazon Web Services (AWS), or Microsoft Azure. Preferred skills and abilities Familiarity with Google Cloud Platform (GCP) tools relevant to data science workflows, such as BigQuery ML, Vertex AI, Dataflow, Workflows, Vertex AI Model Monitoring, and Colab Enterprise. Understanding of Google Analytics 4 (GA4) data and its application in marketing or business intelligence contexts. Comfort working in cloud-based environments and integrating tools across platforms to support scalable, production-ready data solutions. Interest in exploring and applying emerging technologies (e.g., LLMs, automated workflows) to real-world problems. Benefits Hybrid work schedule. We work from home on Mondays and Fridays! $30 bi-weekly cell phone reimbursement Hands-on experience in a professional environment Professional development plans Opportunity to network with ASUEP leaders and other ASU students Access to LinkedIn Learning and their 8,000+ courses Professional skills workshops About ASU Enterprise Partners ASU Enterprise Partners is a private, nonprofit organization whose mission is to provide an ecosystem of services to create solutions and generate resources to extend Arizona State University's reach and advance its charter. ASU Enterprise Partners supports ASU and several affiliates, including the ASU Foundation for a New American University, ASU Outreach Hub, ASURE, NEWSWELL, Skysong Innovations and University Realty. ASU Enterprise Partners is home to several Centers of Excellence whose purpose is to provide professional services to its affiliates. The Centers of Excellence include Finance, General Counsel, Investments, Public Relations and Strategic Communications, Human Resources, Facilities and Operations, Data Analytics and Insights Planning, Budgeting and Strategy, and Technology and Solutions. At ASU Enterprise Partners We serve ASU and one another with integrity, trust and compassion We engage step up, own it, collaborate We innovate. continuously, fearlessly, make decisions and take risks We care that everyone feels respected and valued for who they are ASU Enterprise Partners is an Equal Opportunity Employer

The Data Science team at Asana is pivotal in fulfilling our mission by fostering a data-driven approach in shaping both our product and business strategies. In your role on the Marketing Data Science team, you will be a key player in using data and scientific techniques to enhance Asana's marketing effectiveness. You will work closely with marketing leadership and the wider Asana data community, unearthing new opportunities to advance our marketing capabilities and efficiency. You will lead a team of data scientists, collaborating with marketing leadership to influence overall marketing strategy. Your enthusiasm for mentoring and leading a team will be matched by your drive to solve complex technical challenges. This role is based in our San Francisco office with an office-centric hybrid schedule. The standard in-office days are Monday, Tuesday, and Thursday. Most Asanas have the option to work from home on Wednesdays. Working from home on Fridays depends on the type of work you do and the teams with which you partner. If you're interviewing for this role, your recruiter will share more about the in-office requirements. What you'll achieve: Propel the Marketing Data Science team in executing its roadmap aimed at enhancing marketing initiatives, including projects like Lead Scoring, Media Mix Modeling (MMM), Multi-touch Attribution (MTA), and Spend Optimization. Lead and nurture a team of over four data scientists at varying levels, guiding their professional growth and expanding the team as necessary for ongoing business success. Collaborate with marketing leadership to pinpoint how data science can be further integrated into Asana's business approach. Take on a leadership role within the broader Asana Data Community, interacting with other Data Science teams, Data Engineering, and Analytics, along with MarketingOps and Paid Media teams that heavily rely on data outputs. Educate partners on emerging capabilities in the marketing data science space, acting as an advocate and guide to demonstrate its potential benefits. About you: Over 5 years of experience in a comparable data science role. At least 2 years of experience in managing a team of at least three data scientists. More than 4 years of experience collaborating with Marketing functions on projects like Multi-touch Attribution (MTA), Media Mix Modeling (MMM), geo-based testing, Spend Optimization, and Life-Time Value Modeling (LTV). Extensive track record in developing and implementing scalable machine learning solutions and data products that align with our business's evolving needs. Strong expertise and proven experience in orchestrating data-driven marketing strategies. At Asana, we're committed to building teams that include a variety of backgrounds, perspectives, and skills, as this is critical to helping us achieve our mission. If you're interested in this role and don't meet every listed requirement, we still encourage you to apply. What we'll offer Our comprehensive compensation package plays a big part in how we recognize you for the impact you have on our path to achieving our mission. We believe that compensation should be reflective of the value you create relative to the market value of your role. To ensure pay is fair and not impacted by biases, we're committed to looking at market value which is why we check ourselves and conduct a yearly pay equity audit. For this role, the estimated base salary range is between $258,000 - $328,000. The actual base salary will vary based on various factors, including market and individual qualifications objectively assessed during the interview process. The listed range above is a guideline, and the base salary range for this role may be modified. In addition to base salary, your compensation package may include additional components such as equity, sales incentive pay (for most sales roles), and benefits. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. We strive to provide equitable and competitive benefits packages that support our employees worldwide and include: Mental health, wellness & fitness benefits Career coaching & support Inclusive family building benefits Long-term savings or retirement plans In-office culinary options to cater to your dietary preferences. These are just some of the benefits we offer, and benefits may vary based on role, country, and local regulations. If you're interviewing for this role, speak with your Talent Acquisition Partner to learn more about the total compensation and benefits for this role. About us Asana helps teams orchestrate their work, from small projects to strategic initiatives. Millions of teams around the world rely on Asana to achieve their most important goals, faster. Asana has been named a Top 10 Best Workplace for 5 years in a row, is Fortune's #1 Best Workplace in the Bay Area, and one of Glassdoor's and Inc.'s Best Places to Work. After spending more than a year physically distanced, Team Asana is safely and mindfully returning to in-person collaboration, incorporating flexibility that adds hybrid elements to our office-centric culture. With 11+ offices all over the world, we are always looking for individuals who care about building technology that drives positive change in the world. We believe in supporting people to do their best work and thrive. Our goal is to ensure that Asana upholds an environment where all people feel that they are respected and valued, whether they are applying for an open position or working at the company. We provide equal employment opportunities to all applicants without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by law. We also comply with the San Francisco Fair Chance Ordinance and similar laws in other locations. #LI-Hybrid #LI-AS2

The Laboratory Technician provides technical and operational support for the Advanced Manufacturing, Engineering, and Cleanroom laboratories. This role ensures that laboratory spaces and equipment are maintained, supplies are managed, and safety protocols are upheld to support academic and research activities. This position is currently funded until December 2025 by the READI grant. If sustainable funding is not secured upon the expiration of the grant, there will be no guarantee of continued employment in this position. Lab Preparation and Maintenance Prepare, organize, and maintain laboratory spaces, ensuring readiness for instructional and research activities. Perform routine maintenance and repairs on laboratory equipment and tools, coordinating with vendors as needed. Calibrate equipment and conduct quality checks to ensure functionality and accuracy. Monitor and maintain inventory of laboratory supplies and reorder as necessary. Technical Support Assist faculty and students with the setup and operation of lab equipment during classes and projects. Provide training and guidance on equipment usage and safety procedures. Support faculty in delivering curriculum that includes technical, hands-on components. Safety and Compliance Implement and enforce lab safety policies, ensuring compliance with college, state, and federal safety regulations. Conduct regular safety inspections and address identified risks. Maintain accurate safety training and incident records. Cleanroom Operations Ensure cleanroom compliance with contamination control protocols and maintain associated equipment. Monitor environmental conditions, ensuring they meet required specifications for optimal operations. Collaboration and Communication Collaborate with faculty and staff to identify and address laboratory needs. Coordinate with vendors and suppliers for procurement of equipment and materials. Participate in planning and development for lab upgrades and new setups. Position Type: Full-Time (Grant Contract until December 2025 with Potential for Renewal) Work Schedule: Flexible schedule to support day, evening, and rare weekend lab operations. Benefits: Excellent benefits, including voluntary benefits: medical, dental, vision,, life insurance, spouse/child life insurance, LTD, STD, Identity Guard, etc. Employer contribution annually to Health Savings Account. No waiting period to enroll in benefits. Coverage starts on day 1. Paid time off: vacation and sick time accrued bi-weekly. Paid holidays: 9 days plus winter break between December 25th and January 1st. Free tuition for employee and dependents. Working Conditions Work is performed in laboratory settings, which may involve exposure to chemicals, machinery, and cleanroom environments. Must be able to lift up to 50 pounds and perform physical tasks such as bending, stooping, and standing for extended periods. Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status. As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College's Title IX Coordinator or to the US Department of Education Office of Civil Rights.

Position Title: Quarterly Lecturer - Political Science (POOL 2025-2026) Position Type: Temporary Salary Range: $9,552 per 4 or 5 unit course Purpose: The Department of Political Science at Santa Clara University, a Jesuit, Catholic university, seeks applicants for Quarterly Lecturer (non-tenure track) positions to teach courses in International Relations. Specific assignments will be made according to the academic qualifications of the individual and programmatic need. Santa Clara University is on the quarter system, and the quarters are 10 weeks long with an 11th week for final examinations. This is an applicant pool; as such, positions are hired as needed. The successful candidate will teach no more than 2 courses in any quarter and no more than four courses over the fall, winter and spring quarters. All classes will be presented in person; however, if county health and university health conditions deteriorate, the successful candidate may be asked to teach part of the course online. (1) Fall Quarter (9/22/25 - 12/12/25, including exams). Course of interest: "International Law" (2) Winter Quarter (1/5/26 - 3/20/26, including exams). No openings anticipated (3) Spring Quarter (3/30/26 to 6/11/26, including exams). Course of interest: "Law, Security, and Force" BASIC QUALIFICATIONS: Terminal degree (Ph.D) in Political Science or a closely-related field. Applicants who are ABD or possess a Master's degree, accompanied by commensurate academic experience in Political Science or a closely-related field (5-7 years of college or professional teaching) will be considered. Demonstrated excellence in teaching Political Science at the college level. Excellent communication skills. PREFERRED QUALIFICATIONS: Experience with inclusive pedagogical practices that promote access and academic success for all students.. Experience teaching and mentoring a diverse population of undergraduate students. RESPONSIBILITIES TEACHING (100%) Teaching duties will not exceed more than two courses in any quarter and no more than four in any academic year, and will include but are not limited to fulfilling all responsibilities associated with assigned courses, including: Conducting and appearing at all assigned class meetings in a timely and prepared manner that demonstrates a command of the discipline and skill in presenting it effectively; Assigning and evaluating assignments that align with the course description and course learning outcomes, and providing timely feedback to students; Holding regular weekly office hours on campus; Submitting student grades that are appropriate, accurate and fair measures of student performance to the Office of the Registrar by the designated deadline; Administering numerical and narrative evaluations for all courses; Where applicable, teaching from an approved syllabus for the University Core courses assigned or working with the Chair to design an appropriate syllabus for submission for approval from the relevant Faculty Core Curriculum Committee. SERVICE (0%) This position does not require any service duties. You may be invited, but not required, to attend department meetings or activities. REQUESTED APPLICATION MATERIALS: Cover letter CV Sample syllabi Teaching evaluations Contact information for two references Please submit the following documents by the application deadline: Tuesday, March 31, 2026 SPECIAL INSTRUCTIONS: Applicants will upload all of their information into Workday, with the exception of confidential letters of reference. Those letters must be emailed to Pam Doherty at pdoherty@scu.edu. ADDITIONAL INFORMATION: Please note that your employment is subject to the terms of a collective bargaining agreement between the University and the Service Employees International Union Local 1021 ("Local 1021"; see https://www.scu.edu/provost/faculty-affairs/cba-ntt/ ). COVID-19 Statement The health and safety of the University community is a top priority. The University strongly recommends that all employees are fully vaccinated for COVID-19 as the vaccination and boosters are safe, effective tools that significantly minimize the chances of serious illness and hospitalization. Please contact Human Resources if you have any questions. Telecommute Santa Clara University is registered to do business in the following states: California, Nevada, Oregon, Washington, Arizona, and Illinois. Employees approved to telecommute are required to perform their work within one of these states. Work Authorization: SCU does not sponsor any applicants for work visas for this position. The successful candidate must be able to provide evidence of identity and legal authorization to work in the United States. EEO Statement Equal Opportunity/Notice of Nondiscrimination Santa Clara University is an equal opportunity employer. For a complete copy of Santa Clara University's equal opportunity and nondiscrimination policies, see https://www.scu.edu/title-ix/policies-reports/ Title IX of the Education Amendments of 1972 Santa Clara University does not discriminate in its employment practices or in its educational programs or activities on the basis of sex/gender, and prohibits retaliation against any person opposing discrimination or participating in any discrimination investigation or complaint process internally or externally. Information about Title IX can be found at www.scu.edu/title-ix. Information about Section 504 and the ADA Coordinator can be found at https://www.scu.edu/oae/ , (408) 554-4109, oae@scu.edu. Inquiries can also be made to the Assistant Secretary of Education within the Office for Civil Rights (OCR). Clery Notice of Availability Santa Clara University annually collects information about campus crimes and other reportable incidents in accordance with the federal Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act. To view the Santa Clara University report, please go to the Campus Safety Services website. To request a paper copy please call Campus Safety at (408) 554-4441. The report includes the type of crime, venue, and number of occurrences. Americans with Disabilities Act Santa Clara University affirms its' commitment to employ qualified individuals with disabilities within the workplace and to comply with the Americans with Disability Act. All applicants desiring an accommodation should contact the Department of Human Resources, and 408-554-5750 and request to speak to Indu Ahluwalia by phone at 408-554-5750 or by email at iahluwalia@scu.edu.

Job Summary: WHO ARE WE? Live Nation Entertainment is the world's leading live entertainment company, comprised of global market leaders: Ticketmaster, Live Nation Concerts, and Live Nation Media & Sponsorship. Ticketmaster is the global leader in event ticketing with over 500 million tickets sold annually and more than 12,000 clients worldwide. Live Nation Concerts is the largest provider of live entertainment in the world promoting more than 40,000 shows and 100+ festivals annually for nearly 4,000 artists in over 40 countries. These businesses allow Live Nation Media & Sponsorship to create strategic music marketing programs that connect over 1,000 brands with the 98 million fans that attend Live Nation Entertainment events each year. For additional information, visit www.livenationentertainment.com. Live Nation's Concerts Division is where tours are born, artists come to life, and fans get to experience the rush of live music. From our dozens of owned/operated Amphitheaters to our Global Touring team, from Ticketing and Venue Operations to Marketing and Sales... we foster a fun and upbeat work culture with no shortage of opportunities. With perks ranging from free concert tickets to dog-friendly offices, to progressive benefits like student loan reimbursement and adoption/fertility support... it's no wonder we are certified as a Great Place to Work organization and one of People Magazine's "50 Companies that Care". We want everyone to feel like they belong and can thrive in our community, so we strive to help you achieve your career and personal goals. Live music is our passion and where we find our common ground. There has never been a better time to join Live Nation. WHO ARE YOU? Passionate and motivated. Driven, with an entrepreneurial spirit. Resourceful, innovative, forward thinking and committed. At Live Nation Entertainment, our people embrace these qualities, so if this sounds like you then please read on! THE ROLE We are seeking a Data Science Intern to join our Chicago-based team to support our analytics, machine learning, and AI initiatives. In this role, you will gain hands-on experience manipulating and analyzing concert and venue data, building machine learning models, and leveraging data intelligence platforms for streamlining workflows and automating processes. WHAT THIS ROLE WILL DO Partner with Data Scientists to design, implement, and maintain retrieval-augmented generation (RAG) pipelines and AI applications powered by large language models (LLMs), including vector embedding store setup, prompt engineering, and integration with internal business systems. Conceptualize, build, and implement Machine Learning models within the Databricks platform. Build complex SQL queries to compile, manipulate, and aggregate data. Perform ad-hoc statistical/exploratory analysis including, but not limited to, regression, clustering, and optimization. Partner with engineering and IT teams to productionize models, debug/troubleshoot code, and integrate with other internal business systems. WHAT THIS PERSON WILL BRING Currently pursuing a Master's degree in a relevant field, such as data science, computer science, statistics, or business analytics. Proficiency in Python. Proficiency in SQL. Experience working with LLMs, including prompt-engineering and RAG pipelines. Experience using statistical modeling and machine learning to solve business problems. Experience working with large and complex datasets. Thorough understanding of machine learning principles and experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks). Strong communication skills and the ability to summarize complex analyses. Experience with MLOps and model deployment pipelines is a plus, but not required. EQUAL EMPLOYMENT OPPORTUNITY We are passionate and committed to our people and go beyond the rhetoric of diversity and inclusion. You will be working in an inclusive environment and be encouraged to bring your whole self to work. We will do all that we can to help you successfully balance your work and homelife. As a growing business we will encourage you to develop your professional and personal aspirations, enjoy new experiences, and learn from the talented people you will be working with. It's talent that matters to us and we encourage applications from people irrespective of their gender, race, sexual orientation, religion, age, disability status or caring responsibilities. Live Nation strongly supports equal employment opportunity for all applicants regardless of age (40 and over), ancestry, color, religious creed (including religious dress and grooming practices), family and medical care leave or the denial of family and medical care leave, mental or physical disability (including HIV and AIDS), marital status, domestic partner status, medical condition (including cancer and genetic characteristics), genetic information, military and veteran status, political affiliation, national origin (including language use restrictions), citizenship, race, sex (including pregnancy, childbirth, breastfeeding and medical conditions related to pregnancy, childbirth or breastfeeding), gender, gender identity, and gender expression, sexual orientation, or any other basis protected by applicable federal, state or local law, rule, ordinance or regulation. We will consider qualified applicants with criminal histories in a manner consistent with the requirements of the Los Angeles Fair Chance Ordinance, San Francisco Fair Chance Ordinance and the California Fair Chance Act and consistent with other similar and / or applicable laws in other areas. We also afford equal employment opportunities to qualified individuals with a disability. For this reason, Live Nation will make reasonable accommodations for the known physical or mental limitations of an otherwise qualified individual with a disability who is an applicant consistent with its legal obligations to do so, including reasonable accommodations related to pregnancy in accordance with applicable local, state and / or federal law. As part of its commitment to make reasonable accommodations, Live Nation also wishes to participate in a timely, good faith, interactive process with a disabled applicant to determine effective reasonable accommodations, if any, which can be made in response to a request for accommodations. Applicants are invited to identify reasonable accommodations that can be made to assist them to perform the essential functions of the position they seek. Any applicant who requires an accommodation in order to perform the essential functions of the job should contact a Human Resources Representative to request the opportunity to participate in a timely interactive process. Live Nation will also provide reasonable religious accommodations on a case by case basis. HIRING PRACTICES The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Live Nation recruitment policies are designed to place the most highly qualified persons available in a timely and efficient manner. Live Nation may pursue all avenues available, including promotion from within, employee referrals, outside advertising, employment agencies, internet recruiting, job fairs, college recruiting and search firms. --------- The expected compensation for this position is: $20.00 USD - $25.00 USD Hourly Pay is based on a number of factors including market location, qualifications, skills, and experience.

Sumitomo Pharma Co., Ltd. is a global pharmaceutical company based in Japan with key operations in the U.S. (Sumitomo Pharma America, Inc.), Canada (Sumitomo Pharma Canada, Inc.) and Europe (Sumitomo Pharma Switzerland GmbH) focused on addressing patient needs in oncology, urology, women's health, rare diseases, psychiatry & neurology, and cell & gene therapies. With several marketed products in the U.S., Canada, and Europe, and a diverse pipeline of early- to late-stage assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website https://www.us.sumitomo-pharma.com or follow us on LinkedIn. Job Overview We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Senior Medical Science Liaison. The Senior Medical Science Liaison will be responsible for integrating scientific expertise and knowledge with brand strategies to ensure successful implementation of Sumitomo Pharma America's marketed and emerging product portfolio. This will be fulfilled mainly through the development of excellent working relationships with key opinion leaders and regional clinicians of influence. This role will cover PA, WV, and DE. Job Duties and Responsibilities Identify key national and regional, and local oncology thought leaders and priority customers, build and maintain advocacy with these individuals, and function as their primary scientific contact. Participate in the collection and exchange of scientific/technical information important to the Company's market and development portfolio. Assist in the management of relationships between key opinion leaders and corporate product teams, as well as provide education of priority customers on research and development projects. Accumulate key competitive information to aid the clinical and marketing teams in drug/brand development. Identify, initiate, coordinate, evaluate and monitor investigator-sponsored studies intended to support the clinical and scientific strategy of the Company's products. Help develop and manage timelines of publication plans of investigator-sponsored studies. Assist in the identification, evaluation, and engagement of potential investigators for corporate trials. Assist the clinical trials team, as needed, in the ongoing support and communication with investigators on corporate trials. Develop key advocates as speakers to support the Company's products and strategies. Assist in the development of, and participate in, advisory boards and medical education programs. Contribute scientific and clinical expertise to the development and execution of commercial educational activities. Provide clinical resources for programs supporting sales/sales training and marketing efforts and professional services. Represent the Company at national, regional, and local oncology meetings and conferences. Maintain clinical and technical expertise in the area of oncology through review of the scientific literature and attendance at key scientific meetings. Leads assigned projects within the MSL organization. Perform other duties as assigned. Key Core Competencies Patient care clinical experience or strong scientific research experience in the therapeutic area (Prostate Cancer, Myelofibrosis, or Acute Myelogenous Leukemia) preferred. Strong project leadership and management history required. Ability to efficiently manage time and priorities. 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. Understanding of drug development and life-cycle development of a product. Ability to cultivate and maintain relationships with thought leaders and to establish trust through the consistent demonstration of scientific expertise and satisfactory follow-through to requests from thought-leaders; the ability to work effectively with key decision makers, both within and outside the Company. Excellent communicator, skilled at diplomacy and capable of effectively combining science and relationship building. Ability to understand and translate external customer and/or internal client needs into effective decisions and to drive results and strive for continuous improvement with high performance in the face of adversity a must. Willingness to travel >50% of the time within the domestic US. Education and Experience Bachelor's degree in a related field required. 5-10 years of relevant scientific or clinical experience in Oncology/Hematology; preferably in Prostate Cancer, Myelofibrosis, or Acute Myelogenous Leukemia 3+ years of relevant experience in biotech or pharmaceutical industry 3+ years of MSL experience in oncology/hematology preferred. Advanced degree in medical science (MD, PharmD, or PhD) is strongly preferred. Candidates without an advanced degree are required to have at least 5 years of industry MSL experience, and 6-10 years overall related experience. The base salary range for this role is $175,680 to $219,600. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

The hiring rate for this position is $25.00 per hour. Please apply to learn more about the benefits of working for the CIA. POSITION SUMMARY The Professional Tutor for Math/Science must demonstrate an ability to quickly establish rapport and communicate effectively with students and instructors. The Tutor is responsible for providing academic support to all CIA students and assisting the Library Learning Commons (LLC) with accommodating the growing needs of the college, working to assist students with foundational Math, Culinary Math, College Algebra, Calculus and Chemistry. The Tutor will be responsible for auditing coursework to tutor ancillary courses such as Financial Accounting, Managerial Accounting, Finance, Personal Finance, Culinary Chemistry, Microbial Ecology, Science Fundamentals and Biology. They are also responsible in assisting with the prevention of students to probation status, by providing support to at-risk students, and providing services to decrease the overall number of students in these academic situations: at-risk, probation and academic suspension. ESSENTIAL RESPONSIBILITIES Tutor students in specific course material and integrate study and learning strategies to promote independent learning to maximize the student's potential for academic progress. Provide individual and small group tutoring sessions in approved subjects. Encourage students to develop a systemic approach to studying that will serve them in many courses. Develop a familiarity with computer hardware, software, and any other individual instructional materials available in the Library Learning Commons. Integrate effective study and learning strategies. Participate in professional development offerings. Prepare and update student records and visit notes after each session via the CIA Cares system. Participate in data collection and reporting. Collaborate with managers within the department and instructors to plan appropriate academic support for students. Maintain ongoing communications with the Director - Academic Support Services. Any and all other duties as assigned. REQUIRED QUALIFICATIONS Education: Bachelor's Degree in Math or Science. Experience: Minimum of three (3) years of teaching or tutoring in Math or Science. PREFERRED QUALIFICATIONS Master's Degree. Special training or experience in working with students with disabilities is highly desirable. Familiarity with the operation of developmental education programs. Experience working with ESL students. REQUIRED SKILLS Strong analytical, problem-solving and conceptual skills. Work requires continual attention to detail in composing, typing and proofing materials, establishing priorities and meeting deadlines. Must be able to work in a fast-paced environment with demonstrated ability to juggle multiple competing tasks and demands. Must display a high level of energy and self-motivation. Strong computer experience, which must include abilities to work effectively with MS Office suite products, i.e. Word, Excel, PowerPoint. Ability to work independently or in a team environment and maintain collaborative relationships. WORKING CONDITIONS Must be available to work a flexible work schedule as required due to business needs. Regular work requires the use of a computer, sometimes in excess of eight (8) hours per day.

What We're Looking For At HNTB, you can create a career that is meaningful to you while building communities that matter to all of us. For more than a century, we have been delivering solutions for some of the largest, most complex infrastructure projects across the country. With our historic growth, it is an exciting time to join our team of employee-owners. This opportunity entails being responsible for technical input within discipline, acts as a consultant to HNTB's offices in their area of expertise by providing strategic advice and guidance to ensure successful project delivery and client satisfaction. This position supports office, regional and division leadership, as well as project teams to develop and promote subject matter expertise and best practices in area of specialty. What You'll Do: Applies technical expertise and guidance in area of practice. Acts as subject matter expert to provide strategic advice and analysis and engage in marketing and business development efforts for pursuits. Prepares technical materials for projects, including strategic analyses, commercial documentation, technical provisions, procurement documents, and other materials pertaining to applicable subject matter focus. Works with the line organization in a senior support role on strategically important client and project pursuits, providing technical input and market knowledge to navigate complex projects and enhance win probabilities and client satisfaction. Targets national and international associations, trade shows, etc., to help the division/region/office identify leads, win work and maintain industry recognition. Identifies, pursues, and executes high-level projects with assigned departments, agencies, and programs. Assists in the successful contracting and project execution process, working closely with regional HNTB staff and office leadership. Partners with National Practice Consultants and Leaders to develop and promote technical knowledge and applicability of practice area. Works with HNTB project leadership to manage client relationships and guides the application of HNTB services within a specific practice area to best serve the interests of the client and HNTB. Contributes to strategic planning in area of expertise and assists with thought leadership initiatives. Performs other duties as assigned. What You'll Need: Bachelor's degree in relevant field with 12 years of relevant experience Master's degree in relevant field with 11 years of relevant experience In lieu of degree, 16 years of relevant experience What We Prefer: Registered professional in area of practice in good standing with appropriate governing authority. Additional Information Click here for benefits information: HNTB Total Rewards Click here to learn more about Equal Opportunity Employer/Disability/Veteran Visa sponsorship is not available for this position. #SR #EnvironmentalPlanning #TransportationPlanning . Locations: Atlanta, GA . . . . . . . . . . . . . . . . . NOTICE TO THIRD-PARTY AGENCIES: HNTB does not accept unsolicited resumes from recruiters or agencies. Any staffing/employment agency, person or entity that submits an unsolicited resume to this site does so with the understanding that the applicant's resume will become the property of HNTB. HNTB will have the right to hire that applicant at its discretion and without any fee owed to the submitting staffing/employment agency, person or entity. Staffing/employment agencies who have fee agreements with HNTB must submit applicants to the designated HNTB recruiter to be eligible for placement fees.

Senior Director, Clinical Informatics and Health Data Sciences The Regeneron Genetics Center uses genetics and health data on millions of people to advance our understanding of human disease and guide Regeneron's therapeutic programs. You will lead our efforts to organize health information aggregated from electronic health records, surveys, digital devices, and laboratory assays from multiple collaborators. This will require supervising and mentoring a small high-performing team and working with them to develop and implement standards for health data as well as code repositories, pipelines and analysis tools that facilitate interacting with data. This will also require coordination with an extensive team of stakeholders and users of this health data. You will need expertise in organizing and structuring large and diverse datasets as well as top-notch software engineering and orchestration skills. You will be responsible for the design of data structures that store health data. You will architect the code and processes that populate, validate, and analyze these data. You will participate in downstream analysis using machine learning, genomics, and epidemiology. This will be a dynamic, challenging position with lots of work and lots of opportunities. A typical day might include: Managing priorities and schedules for your team, as your work to match their abilities and expertise with the needs and goals of the organization. You will have to prioritize among a variety of tasks - ranging from datasets that might need data curation and harmonization to potential improvements to code, processes and APIs that might improve long-term team productivity. Oversee the design and implementation of a set of interactive tools and APIs that facilitate access to health datasets, including through the calculation of basic summary statistics and informative graphics, the calculation of quality metrics and reports, and the ability for users to programmatically query and retrieve data. Identifying courses, projects and resources that facilitate the professional development and growth of your team members, with the goal of growing their knowledge of clinical informatics, computer science, data engineering, epidemiology and collaboration. Reviewing the structure, content, and quality of phenotype data extracted from electronic health records, surveys, digital devices, or laboratory assays. Each of these datasets may include data on 100,000s of people and require coordination and input from multiple stakeholders with varied expertise. Architect, develop and test the tools and code that will transform electronic health records, surveys, laboratory assays, or digital device data into a harmonized format compatible with RGC analytical tools, applications and processes. You and your team will probably be writing and updating code in Python and using associated data science libraries, such as pandas, Polars, NumPy, scikit, and others. You will be presenting results and summaries of these datasets and data processing plans to a variety of technical audiences, ranging from experts in statistics, epidemiology, genetics, and computation to experts in biology, drug design, and medicine. You will need outstanding communication skills and an ability to summarize and present to a variety of technical audiences. You will work in a highly interactive environment with a diverse team of colleagues. We highly value the ability to interact, learn, and teach so that you and other skilled individuals consistently achieve high levels of motivation, enthusiasm, and performance. This role might be for you if: An outstanding candidate will have an advanced degree in Computer Science, Health Informatics, Clinical Informatics, Biostatistics, or a related field. 10+ years of experience in organizing and processing rich datasets is expected as well as demonstrated experience in managing, growing and developing junior team members. A demonstrated knowledge of Python and key data science libraries is a must. Knowledge of R, SQL and/or C/C++ is also highly valued. If you have contributed to code in GitHub or another public repository, let us know. Have a passion for teaching others and helping your team grow. We expect our people managers to make their teams better! Understanding strategies for mapping structured and unstructured data to ontologies such as ICD-10, RxNORM and LOINC. Knowledge and experience applying best practices for data quality control, summarization and visualization. A passion for learning. We are a fast-moving team in a fast-moving company. You should expect to encounter challenging work and to learn many new skills. Ability to summarize and distil results concisely. Excellent oral presentation and writing skills. To be considered for this position you should have demonstrated experience in management of health-related data, in application design and development, and as a people manager. This position will be based in Westchester County, New York. Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels! Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business. For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location. Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc. Salary Range (annually) $238,400.00 - $397,300.00

Department Earth and Atmospheric Science About the University Metropolitan State University of Denver (MSU Denver) enrolls over 16,000 students, where nearly 60% are first generation and over 55% are students of color. Located in downtown Denver, we are a designated Hispanic Serving Institution that also offers graduate programs (gHSI) and the only Seal of Excelencia certified institution in Colorado. As the third largest institution of higher education in Colorado and the only institution with an open access mission, MSU Denver is a model university for today's students. Through affordable, flexible, and holistic education, MSU Denver helps students build essential skills grounded in a multicultural and global perspective that lead to undergraduate and graduate degrees, and career and life success. The university values teaching first, with an emphasis on positive student-instructor interactions and high impact pedagogical practices that facilitate learning. About the Department of Earth and Atmospheric Sciences The Department of Earth and Atmospheric Sciences houses a Bachelor's degree in Environmental Science, as well as a Bachelor's degree in Environmental Science with a Secondary Teaching License. In addition, we offer a minor in Environmental Science and are exploring options for an interdisciplinary online degree in environmental studies. The department is home to 10 tenure track faculty and 4 lecturers across four degree-granting programs. The candidate will complement the department's strengths in Geography and GIS, Environmental Science, Applied Geology, and Meteorology. MSU Denver and the Department of Earth and Atmospheric Sciences are committed to active and strategic initiatives in our work toward educational equity and promoting a culture of access and inclusion for our students, staff, and faculty. We seek to sustain an inclusive community where all individuals at MSU Denver and in the Department of Earth and Atmospheric Sciences are respected, feel a sense of belonging, and are provided proper resources and skillsets to be successful. This success is not limited to our humanities-focused education, but also to the broader development of our students as engaged citizens and valued contributors to the discipline, the community, and society. Position Summary The Department of Earth and Atmospheric Sciences at MSU Denver invites applications for a tenure track faculty position in Environmental Science (ENV) to expand the department's current strengths. The successful candidate would teach 24 credits each year beginning in fall 2025. We seek candidates with expertise in biogeochemistry, terrestrial ecosystems focused on soils, vegetation, mountain environments, and ecological restoration. Additionally, we prefer candidates with the ability to teach climate change response and planning, and global resource use. The successful candidate will have a proven record of accomplishment of teaching excellence in both online and face-to-face formats, mentoring undergraduate research, and cultivating collaborations with local community partners, e.g., land managers, parks and open space partners, public municipalities, and private industry. In addition, the successful candidate should have experience with academic service. MSU Denver has a robust mentoring program for tenure-track faculty. The candidate will be enrolled in the Roadrunner Faculty Academy during their first year. This is a year-long course designed to support new faculty to navigate faculty life and thrive in teaching, scholarly activity and service. Responsibilities The duties of the position entail: Teaching 24 credit hours per year (80%), which may include Introduction to Environmental Science, Soils (lecture and lab), Ecological Restoration, Mountain Environments, Wetlands, Limnology, and Field Studies (which is a senior experience/capstone course). Academic advising and career mentorship of undergraduate majors and minors. Mentorship and supervision of undergraduate research. Engaging in scholarly activities and professional development (10%), and service (10%) to the department, college, university, and/or community. Required Qualifications Doctorate in Environmental Science or closely related discipline at the time of appointment. ABD applicants will be considered with evidence of degree conferral by the start of the fall 2025 semester in August. Ability to teach undergraduate courses in soils, terrestrial ecosystems, and/or ecological restoration as well as the senior capstone field studies course as evidenced by teaching experience, academic transcript, work experience, or other demonstrated experience. Ability to create an impactful undergraduate research program including community partnerships and collaborations. Ability to teach in online, hybrid, and face-to-face modalities. Preferred Qualifications Evidence of ability to teach, or experience teaching, courses in one or more of the following areas: field data collection in terrestrial ecosystems; environmental science laboratory analysis using standard methods with equipment and instrumentation; additional courses in climate change and sustainable resource use Evidence of teaching experience in both online and face-to-face formats Demonstrated research experience in Environmental Science, Science of Teaching and Learning, or a related field, ideally with community collaborators Experience supervising undergraduate research or mentoring undergraduates in field research projects, Honors projects, and other independent projects Experience with a variety of field and laboratory equipment and instrumentation Evidence of, or interest in, course and curriculum development, specifically online learning The successful candidate must have the ability to work with the educational needs of a diverse urban population including (but not limited to) students of color, LBGTQIA students, students from low-income backgrounds, first-generation college students, students with disabilities, nontraditional students, student veterans, and English-language learners We encourage you to apply even if you do not meet every preferred qualification. We are most interested in finding the candidate who will best contribute to our Department and the University. Salary for Announcement The salary range for this position is $65,000 - $75,000 at Assistant Professor rank. The salary of the finalist selected for this role will be set based upon a variety of factors, including but not limited to, internal equity, education, experience, specialty and training. MSU Denver offers excellent benefits that include medical, dental, retirement, tuition benefit, free RTD pass, and more. For a brief overview of these options, please visit our Benefits section. Instructions to Apply Interested applicants must apply online at MSU Denver's career site, https://msudenver.wd1.myworkdayjobs.com/MSUDenver and search for JR103770. To help us evaluate your potential as a faculty member at MSU Denver, you must submit the following required materials: Curriculum vitae that includes names and contact information for three professional references Letter of application Statement of teaching philosophy highlighting teaching experience, pedagogical approach, and how you would engage a diverse student body in the classroom (2 pages maximum) Statement of undergraduate research plan including community collaborations (2 pages maximum) Copies of unofficial undergraduate and graduate transcripts Due to volume of applications received, incomplete applications may not be reviewed; please ensure you have uploaded all required documents. Upload all required documents into the "Resume/Cover Letter" section of the application. Official transcripts will be required of the candidate selected for hire. Deadline Applications accepted until position filled; priority given to applications received through 11:59 PM MST on Friday, May 9, 2025. Closing Date Open Until Filled Posting Representative Tanya Rogowsky Posting Representative Email trogowsk@msudenver.edu Benefits The University's benefits package is comprehensive and offers medical, vision and dental, free RTD pass, tuition reimbursement, as well as a life and supplemental insurance plans, retirement plans and other programs, such as access to a long-term disability (LTD) plan. Visit MSU Denver's benefits website to learn more. For a brief overview, please see: https://www.msudenver.edu/wp-content/uploads/2024/01/MSU-Benefit-Summary.pdf . The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at totalrewards@msudenver.edu. Background Checks Metropolitan State University of Denver is dedicated to ensuring a safe and secure environment for our faculty, staff, students, and visitors. To Assist in achieving that goal, we conduct background checks on all finalists for positions at the University prior to employment. Diversity Statement Metropolitan State University of Denver is a unique, access-oriented campus community that values diversity, equity, and inclusion in all its forms. Our student population consists of nearly 58% first generation students and over 50% students of color. We are a designated Hispanic Serving Institution located in downtown Denver. We create an equitable learning and working environment in concert with individuals who consistently demonstrate commitment to equity and inclusion. We greatly value the diverse identities and perspectives of our students, faculty, and staff and recognize that in order to achieve a just and equitable society, diversity must go beyond simple representation. It requires critical inquiry and dialogue and a commitment to action. We strive to provide a culture of belonging for all community members to achieve personal and professional success.

We are seeking a strategic, collaborative, and technically skilled Director of Data Science to lead and grow our data science team. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful machine learning and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core products, services, and operations. The role will report to the VP of Data & Analytics. What You'll Do Leadership & Strategy Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes Act as a strategic advisor and thought leader, championing the adoption and responsible use of AI/ML across the organization Advocate for ethical, transparent, and compliant data use, upholding standards of fairness and accountability in all initiatives Team Development & Management Build, mentor, and lead a high-performing, collaborative team of data scientists Foster a culture of inclusion, innovation, and continuous learning within the team Set clear goals and development plans to support team growth and success Cross-Functional Collaboration Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value Analytical & Communication Excellence Translate complex, ambiguous problems into structured, actionable analytical solutions Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions Model Development & Operations Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs Standards & Best Practices Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability What You'll Need Minimum Qualifications 8+ years in data science or machine learning roles, including 3+ years in a leadership position Advanced degree (PhD/MS) in a quantitative field such as Computer Science, Statistics, Mathematics, or similar Proven experience deploying machine learning models at scale in production environments Preferred Qualifications Background in SaaS or experience working with B2B business models Strong programming skills in Python and experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) Deep understanding of statistical modeling, causal inference, and A/B testing Excellent communication and stakeholder management skills Familiarity with modern data stacks: cloud data warehouses (Snowflake, BigQuery), orchestration tools, and MLOps platforms Experience with NLP, recommendation systems, or time-series forecasting. Experience managing and growing technical talent Working Conditions & Travel Requirements Reliable internet access for any period of time working remotely, not in a Workiva office Up to 20% travel How You'll Be Rewarded Salary range in the US: $177,000.00 - $284,000.00 A discretionary bonus typically paid annually Restricted Stock Units granted at time of hire 401(k) match and comprehensive employee benefits package The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors. Workiva is an Equal Employment Opportunity and Affirmative Action Employer. We believe that great minds think differently. We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation. Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic. We strongly encourage and welcome people from historically marginalized groups to apply. Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com. Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards. Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment. #LI-LP1

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

Pioneering trusted medical solutions to improve the lives we touch: Convatec is a global medical products and technologies company, focused on solutions for the management of chronic conditions, with leading positions in advanced wound care, ostomy care, continence care, and infusion care. With around 10,000 colleagues, we provide our products and services in almost 100 countries, united by a promise to be forever caring. Our solutions provide a range of benefits, from infection prevention and protection of at-risk skin, to improved patient outcomes and reduced care costs. Group revenues in 2024 were over $2 billion. The company is a constituent of the FTSE 100 Index (LSE:CTEC). To learn more about Convatec, please visit http://www.convatecgroup.com Change is everywhere at Convatec . It's transforming our business, and helping us improve millions of lives. And we're nowhere near finished. Across every part of our business, we're pushing for better. Join us on our journey to #ForeverCaring as a Director, Materials Science, and you'll do the same. The Director of Materials Science is a senior leader within Technology and Innovation (T&I)'s Applied Research organization, responsible for the organization's materials science capabilities. This individual is charged with building and managing a world class Materials Sciences team, comprising adhesives technologies, plastics engineering, and process science. The Director of Materials Science develops and drives a talent strategy, defines performance expectations and ways of working, allocates resources, and leads the team to deliver Convatec's strategic priorities across front-end innovation, product development, and lifecycle management. The Director of Materials Science is also responsible for delivering technology development programs. The Director of Materials Science is accountable for structuring multi-faceted research programs aimed at addressing identified needs, working in collaboration with partners throughout Convatec and externally to advance innovation in a structured, milestone-driven process. This individual is expected to partner with a wide range of stakeholders, including Applied Research, New Product Development, Marketing, Medical and Clinical Affairs, Market Access, and External Innovation to develop innovative and differentiated technologies that can be taken into product development. As a direct report to the Vice President, the Director of Materials Science, also has an important role as part of the leadership team for the Applied Research organization. ABOUT THE ROLE: Key Responsibilities: Lead and Manage the Materials Science Team Translate business strategies into clear, actionable goals and plans for a team. Align team with strategy and set measurable performance expectations. Allocate resources across near- and long-term priorities, maintaining flexibility to adapt to changing needs. Anticipate challenges and opportunities to optimize team performance. Build relationships with peers, senior leaders, and direct reports to foster collaboration and shared goals. Enhance team effectiveness by fostering both individual growth and building collective capability. Develop and manage annual budgets aligned with business goals. Optimize resources (personnel, equipment, and other assets) to support objectives. Conduct talent reviews, performance evaluations, and drive succession planning. Track and meet KPIs such as project timelines, training completion, and operating metrics. Lead Research Programs Develop clear research aims aligned with stakeholder expectations and identify sequential project milestones to measure against. Foster an open innovation approach, exploring multiple paths to achieve research goals. Matrix-manage cross-functional teams, ensuring collaboration and alignment. Partner cross-functionally, e.g. with Marketing, Medical and Clinical Affairs, Market Access, and External Innovation, to develop business cases for research programs. Cultivate relationships with external partners (academic institutions, contract labs, vendors) to support strategic innovation. Collaborate with project managers on resource planning, timelines, and milestone tracking to ensure seamless execution. Provide clear progress updates, recommending data-driven decisions on project continuation or pivoting. Lead efforts to secure intellectual property, ensuring IP aligns with Convatec's strategic priorities. ABOUT YOU: Education: Doctoral degree in a relevant science or engineering field, such as Materials Science, Physics, Chemistry, Chemical Engineering, Materials Engineering, and the like. Skills & Experience: 10+ years of experience in biomedical research and development, with at least 3 years of significant management experience Experience developing medical devices under quality systems compliant with ISO 13485 and FDA requirements Strong interpersonal and leadership skills, with a track record of effective collaboration across both internal and external stakeholders. Creativity and intellect to seek out novel solutions, remaining agnostic to the source of innovation. Reslience and agility to adapt to changing prioriites, and/or pivot in response to new learnings. Ability to effectively communicate with both technical and non-technical audiences. Understanding of intellectual property (IP) and ability to collaborate on patent landscapes, searches, and filing of new applications. Proficiency in Microsoft Office suite Travel Requirements Position may involve travel, up to 25% of the time, within the UK / Europe and overseas. Most trips will include overnight travel. Working Conditions Hybrid working: typically, 3-5 days per week in the office and driven by business requirements as Convatec has a flexible approach to office working. Our ambitions will bring the very best out in you. You'll be pushed to aim higher and really own your work. You'll be encouraged and supported to make things happen, too. It can be challenging. But, as the progress you make will help improve the lives of millions, it'll be worth it. This is stepping up to a challenge. This is work that'll move you. #LI-Hybrid #LI-PPS Beware of scams online or from individuals claiming to represent Convatec A formal recruitment process is required for all our opportunities prior to any offer of employment. This will include an interview confirmed by an official Convatec email address. If you receive a suspicious approach over social media, text message, email or phone call about recruitment at Convatec, do not disclose any personal information or pay any fees whatsoever. If you're unsure, please contact us at careers@Convatec.com. Equal opportunities Convatec provides equal employment opportunities for all current employees and applicants for employment. This policy means that no one will be discriminated against because of race, religion, creed, color, national origin, nationality, citizenship, ancestry, sex, age, marital status, physical or mental disability, affectional or sexual orientation, gender identity, military or veteran status, genetic predisposing characteristics or any other basis prohibited by law. Notice to Agency and Search Firm Representatives Convatec is not accepting unsolicited resumes from agencies and/or search firms for this job posting. Resumes submitted to any Convatec employee by a third party agency and/or search firm without a valid written and signed search agreement, will become the sole property of Convatec. No fee will be paid if a candidate is hired for this position as a result of an unsolicited agency or search firm referral. Thank you. Already a Convatec employee? If you are an active employee at Convatec, please do not apply here. Go to the Career Worklet on your Workday home page and View "Convatec Internal Career Site - Find Jobs". Thank you!

Must be able to work onsite at ABC Supply Co, National Support Center in Beloit, WI in a hybrid arrangement. ABC Supply is North America's largest wholesale distributor of exterior and interior building products. ABC Supply is proud to be an employee-first company. In fact, we have won the Gallup Great Workplace Award every year since its inception in 2007, and Glassdoor has named us one of the best places to work in the country. Be part of a company that recognizes your talents, rewards your efforts, and helps you reach your full potential. At ABC Supply, we have YOUR future covered. Summary: As the Manager of Data Science, you will be responsible for leading and managing our data science team, driving data-driven initiatives, and contributing to the overall data strategy of ABC Supply Co. You will collaborate closely with enterprise analytics and business teams to identify business challenges, develop innovative data science solutions, and provide actionable insights. Your role will be instrumental in shaping our data science capabilities and ensuring the successful execution of analytics projects. Essential Duties and Responsibilities: Lead and mentor a team of data scientists, providing guidance, technical expertise, and support to ensure the successful execution of projects. Foster a collaborative and innovative team environment. Oversee, in conjunction with Product Owners, end-to-end data science projects, from problem definition and data exploration to model development, validation, and deployment. Apply advanced statistical and machine learning techniques to analyze complex datasets, extract meaningful patterns, and develop predictive and prescriptive models. Contribute to the development of the company's data strategy by identifying opportunities to leverage data science to enhance business processes, optimize operations, and drive revenue growth. Collaborate with key stakeholders from various departments within the company, including the National Support Centers, Field Operations, and Branch Operations to understand their data needs and deliver solutions to meet business objectives. Stay updated with the latest advancements in data science, machine learning, and AI technologies. Evaluate and implement new tools, algorithms, and frameworks to enhance the team's capabilities. Ensure the team creates and maintains documentation using appropriate tools, including wikis for narrative documentation and version-controlled repositories for technical documentation. Operate in agile environment intended to facilitate iterative development and continuous delivery. Effectively communicate with colleagues on both technical and non-technical topics, across a variety of communications platforms, including voice and video calls, chat, and email Qualifications and Skills: 5+ years of experience in data science, with a proven track record of leading successful data science projects and managing teams Significant experience extracting data from databases or other sources with SQL Significant experience with at least one of Python or R, and common packages used for data wrangling (e.g. pandas, tidyverse), modeling (e.g. scikitlearn, caret/tidymodels), and data visualization (e.g. seaborn, ggplot2) Significant experience in at least one "non-wrangling" data science domain, e.g. optimization, clustering/segmentation, supervised learning, time-series forecasting Significant experience with descriptive and inferential statistics, e.g. hypothesis testing, confidence intervals, correlations, etc. Significant experience with at least one enterprise data visualization tool (Tableau preferred) Experience with at least one cloud data platform (Azure and Snowflake preferred) This role is likely best suited toward candidates with a master's degree and 7-10 years of related experience. Benefits may include: Health, dental, and vision coverage - eligible after 60 days, low out of pocket 401(k) with generous company match - eligible after 60 days, immediately vested Employer paid employee assistance program Employer paid short term and long term disability Employer paid life insurance Flex spending Paid vacation Paid sick days Paid holidays Equal Opportunity Employer / Drug Free Workplace ABC Supply values diversity and we actively encourage women, minorities, and veterans to apply.

Thorlabs is pleased to play a role in advancing science through the components, instruments, and systems we design and manufacture. We believe that science and innovation have great potential to improve the world around us and are committed to advancing photonics (i.e., light-based) technologies that positively impact our customers, employees, and communities. Via educational outreach and more sustainable business practices, we continuously invest in a brighter future. We recognize that each of our employees is a unique individual with the ability to contribute to our success and seek to find great people who will thrive in our fun, fast-paced culture. Purpose of the Position The Science Writer II role is responsible for strengthening Thorlabs' position as a leading manufacturer of Photonics products through the creation of effective technical presentations, application images, videos, and other marketing collateral that inform and educate the photonics community about Thorlabs' products/capabilities and their applications. This role builds upon the Science Writer I role by demonstrating a firm understanding of Thorlabs' extensive product portfolio; using existing technical experience and photonics knowledge to engage in meaningful conversations with engineering teams to gain an understanding of new product additions and how they fit into our existing portfolio; proposing and planning changes to Thorlabs' website to enhance the buying experience for customers; and successfully executing plans to produce high-quality content requiring minimal feedback. This role works closely with graphic artists to create presentations. Original content is based on basic information provided by Thorlabs' engineers, as well as prior knowledge gained from using similar products in the field. Although the position is based out of Newton, NJ; from time to time, it may be required to undertake duties at other Thorlabs locations. Essential Job Functions include the following, but are not limited to: Utilizes technical knowledge plus gained knowledge of the organizational ERP platform (D365), content editing tools, and Thorlabs' processes and standards to ensure comprehensive presentations in support of New Product Introduction (NPI), website updates, product discontinuation/supersession, acquisitions, tradeshows, social media posts, video/animation projects, or other marketing collateral. Presentations should require minimal feedback when it comes to technical accuracy, completeness, and adherence to Thorlabs standards for layout. Content Strategy: Ensures customers can make informed and efficient decisions on which product(s) best serve their needs amidst a portfolio of 20,000+ items, developing/implementing proposals for website (re)organization as needed, ensuring strong cross linkage across the website, incorporating search engine optimization tactics as appropriate, and ensuring all documentation is comprehensive and meets organizational standards. Timely Updates: Consistently meets deadlines, producing technically accurate content that meets company standards with minimal revisions, all while handling multiple projects at different stages of production. Communication: Guides graphics and digital marketing staff by clearly and effectively communicating desired outcomes to obtain the necessary images, videos, and animations for a successful presentation. Draws on existing technical experience to engage effectively with engineering teams to gain an understanding of new product additions, product revisions, or requested presentation improvements and executes updates to the website that support customer efficiency when making buying decisions. Communicates effectively to address issues and achieve desired outcomes. Application Imagery: Independently conceives of and builds application examples and/or guides others in the construction of application examples that help customers understand how products are utilized within a lab environment. Website Enhancements: Collaborates with marketing management to develop, test, and implement tools (e.g., configurators) that are necessary for new product introduction or an improved customer buying experience. Product Road Mapping: Comments on product additions/enhancements via participation in the internal product development forum. The Company retains the right to change or assign other duties to this position. Qualifications Experience: 3+ years of prior photonics hands-on laboratory experience Education: Advanced degree in Physics, Optics, Lasers, or a closely related field or a bachelor's degree plus 3-5 years of equivalent work experience. Specialized Knowledge and Skills: Strong interpersonal skills for working in a team environment. Excellent writing and presentation skills in English. Excellent organizational and planning skills. Ability to multitask, be detail oriented, and solve problems, all while under tight time constraints. Willing to constantly learn new technologies/products and their applications. Strong bias for action. Ability to flourish with minimal guidance, in a dynamic, fast-changing environment, and be proactive in times of ambiguity. Salary range for this position is $75,450 - $94,300 Thorlabs values its diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Job descriptions are not intended as and do not create employment contracts. The organization maintains its status as an at-will employer. Employees can be terminated for any reason not prohibited by law. Thorlabs offers a complete benefits package that includes medical, dental and vision insurance, company paid life insurance, a generous PTO package, a 401(k) plan, and tuition reimbursement just to name a few.

At TreviPay, we believe loyalty begins at the payment. Thousands of sellers use our global B2B payments and invoicing network to provide choice and convenience to buyers, open new markets and automate accounts receivables. With integrations to top eCommerce and ERP solutions and flexible trade credit options, TreviPay brings 40 years of experience serving leaders in manufacturing, retail and transportation. Every day, TreviPay employees are challenged and empowered in a supportive, collaborative, entrepreneurial environment. Responsibilities o Support the development of statistical models and other types of predictive models as appropriate to improve our Credit and Fraud risk performance, for both application and portfolio risk. o Support the development of risk and pricing strategies, incorporating the predictive models built for Credit and Fraud. o Develop reports to support credit and risk performance evaluation, at both an application and portfolio level o Generate ad-hoc analysis to understand Credit and Fraud risk performance o Access, cleanse, and analyze relevant internal and external data to support the creation, monitoring, and improvement of effective B2B credit risk management and pricing strategy techniques across new account origination and existing account management. o Deliver and communicate high quality data-driven analyses to key stakeholders and senior management that provide key insights leading to actionable results. o Conduct data exploration, data validation, and data audits to identify and address data quality issues and recommend improvements. Requirements: o Bachelor's Degree Required o Minimum 3 years of proven work experience in a highly analytical environment performing complex business analyses, generating data-driven insights and presenting findings to leadership and other stakeholders. o Knowledge of B2B credit and/or Business Banking credit risk, pricing, and profitability principles o Ability to deal with ambiguity and be flexible enough to shift workload in accordance with changing priorities. o Ability to extract, cleanse, merge and analyze data from varied internal and external sources. o Strong analytical and data simulation skills including SAS and/or Python, MS Excel, Tableau/Sisense, or similar analytical and reporting/data visualization packages. o Strong presentation skills and proficiency in MS Word and PowerPoint o Experience in analyzing segments of data or utilizing tools to identify and explain patterns, trends and/or process improvements o Ability to create clear, concise graphs, charts, reports and presentations summarizing analytical results and justifying suggested improvements o High performing contributor with ability to collaborate cross-functionally with management, product, technology, compliance and enterprise risk o The ability to multitask in a fast-paced environment o Strong communication skills, both verbal and written Preferred Qualifications: o Bachelor's or Master's Degree in Statistics, Mathematics or similar quantitative field of study o Knowledge of B2B and/or Business Banking credit product pricing and profitability principles o Statistical modeling experience (logistic regression, machine learning, SVM, and more) Why you will love working at TreviPay Competitive salary Paid parental leave Generous paid time off Medical, dental, vision, FSA, Life/AD&D, long and short term disability 401K matching Employee referral program At TreviPay we believe: in saying yes to unique and challenging requirements empowered team members are creative team members our products make the customer's day just a little bit better work/life balance makes us all more effective TreviPay is an Equal Opportunity and Affirmative Action Employer. We welcome all veterans and disabled applicants. Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact Recruiting@trevipay.com to request an accommodation.

Sumitomo Pharma Co., Ltd. is a global pharmaceutical company based in Japan with key operations in the U.S. (Sumitomo Pharma America, Inc.), Canada (Sumitomo Pharma Canada, Inc.) and Europe (Sumitomo Pharma Switzerland GmbH) focused on addressing patient needs in oncology, urology, women's health, rare diseases, psychiatry & neurology, and cell & gene therapies. With several marketed products in the U.S., Canada, and Europe, and a diverse pipeline of early- to late-stage assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website https://www.us.sumitomo-pharma.com or follow us on LinkedIn. Job Overview We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Senior Medical Science Liaison. The Senior Medical Science Liaison will be responsible for integrating scientific expertise and knowledge with brand strategies to ensure successful implementation of Sumitomo Pharma America's marketed and emerging product portfolio. This will be fulfilled mainly through the development of excellent working relationships with key opinion leaders and regional clinicians of influence. This role will cover ND, SD, NE, IA, MN, WI, MI area. Job Duties and Responsibilities Identify key national and regional, and local oncology thought leaders and priority customers, build and maintain advocacy with these individuals, and function as their primary scientific contact. Participate in the collection and exchange of scientific/technical information important to the Company's market and development portfolio. Assist in the management of relationships between key opinion leaders and corporate product teams, as well as provide education of priority customers on research and development projects. Accumulate key competitive information to aid the clinical and marketing teams in drug/brand development. Identify, initiate, coordinate, evaluate and monitor investigator-sponsored studies intended to support the clinical and scientific strategy of the Company's products. Help develop and manage timelines of publication plans of investigator-sponsored studies. Assist in the identification, evaluation, and engagement of potential investigators for corporate trials. Assist the clinical trials team, as needed, in the ongoing support and communication with investigators on corporate trials. Develop key advocates as speakers to support the Company's products and strategies. Assist in the development of, and participate in, advisory boards and medical education programs. Contribute scientific and clinical expertise to the development and execution of commercial educational activities. Provide clinical resources for programs supporting sales/sales training and marketing efforts and professional services. Represent the Company at national, regional, and local oncology meetings and conferences. Maintain clinical and technical expertise in the area of oncology through review of the scientific literature and attendance at key scientific meetings. Leads assigned projects within the MSL organization. Perform other duties as assigned. Key Core Competencies Patient care clinical experience or strong scientific research experience in the therapeutic area (Prostate Cancer, Myelofibrosis, or Acute Myelogenous Leukemia) preferred. Strong project leadership and management history required. Ability to efficiently manage time and priorities. 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. Understanding of drug development and life-cycle development of a product. Ability to cultivate and maintain relationships with thought leaders and to establish trust through the consistent demonstration of scientific expertise and satisfactory follow-through to requests from thought-leaders; the ability to work effectively with key decision makers, both within and outside the Company. Excellent communicator, skilled at diplomacy and capable of effectively combining science and relationship building. Ability to understand and translate external customer and/or internal client needs into effective decisions and to drive results and strive for continuous improvement with high performance in the face of adversity a must. Willingness to travel >50% of the time within the domestic US. Education and Experience Bachelor's degree in a related field required. 5-10 years of relevant scientific or clinical experience in Oncology/Hematology; preferably in Prostate Cancer, Myelofibrosis, or Acute Myelogenous Leukemia 3+ years of relevant experience in biotech or pharmaceutical industry 3+ years of MSL experience in oncology/hematology preferred. Advanced degree in medical science (MD, PharmD, or PhD) is strongly preferred. Candidates without an advanced degree are required to have at least 5 years of industry MSL experience, and 6-10 years overall related experience. The base salary range for this role is $172,200 to $215,300. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.