Senior Manager, Real-World Data and Analytics (HEOR)

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About the role

Build our future together: At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking a Senior Manager, Real-World Data and Analytics (RWDnA) will support the generation of real-world evidence (RWE) in oncology by delivering data-driven insights through the analysis of real-world data (RWD). The individual will contribute to query/protocol/statistical analysis (SAP) development and execute analyses of RWD to support the generation of RWE to address research questions. The successful candidate will conduct hands-on programming on internal RWD assets, support publication activities, and participate in vendor management. This position offers the opportunity to contribute to a fast-growing, science-driven organization making a meaningful difference to patients worldwide. When & where: •    Location: Sleepy Hollow, NY Discover your role: •    Contribute to the development of RWE queries, protocols, and statistical analysis plans (SAPs) within oncology •    Translate analytic findings into clear insights and communicate them directly to project teams •    Support end-to-end RWE query and study delivery, including hands-on programming and quality control of analytic code •    Evaluate and identify appropriate real-world data sources to address specific research questions •    Contribute to scientific communications, including abstracts, posters, manuscripts, and internal presentations •    Support senior team members in coordinating activities with external analytics vendors and research partners This role requires: •    Doctoral degree in a quantitative field focused on the application of data science to healthcare data with 2+ years of hands-on programming experience; or a Master's degree in a related field with 4+ years of hands-on programming experience •    Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo claims) and electronic health records (EHRs) •    Experience in oncology research and with oncology-specific real-world data (e.g., Flatiron, ConcertAI) •    Advanced programming capabilities using SAS and R •    Proficiency in statistical methodologies including survival analysis, propensity score methods, and generalized linear models. •    Experience with machine learning approaches applied to real-world data •    Excellent written and verbal communication skills   Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. 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, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.   Where necessary, we disclose salary ranges for roles in all countries in which we operate.  The final offer will be determined within the relevant range based on the country of employment, specific role level, and your skills and experience. In some countries, collective bargaining agreements (CBAs) may apply and influence certain elements of pay or benefits.  Regeneron offers a competiti

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