Senior Manager, Data and Analytics; HEOR

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

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 competitive and comprehensive total rewards package which may include, depending on country and role: annual bonuses or other incentive plans, equity awards, pension or retirement benefits, 401(k) company match, health and wellness programs, fitness centers, insurance benefits (e.g. medical, dental, vision, life and disability), paid time off, and family support benefits.

For additional information about Regeneron benefits in the U.S., please visit  . For other locations, additional information will be provided during the recruitment process. If you have any questions, please speak with your recruiter.

Please be advised that at Regeneron, we believe we do our best work when we are together. For that reason, many roles are required to be performed on‑site. Please speak with your recruiter and hiring manager for more information about on‑site expectations for your role and location.

• Location:
  
  Sleepy Hollow, United States of America
• Location:
  
  Sleepy Hollow, United…