Senior Manager, Real-World Data and Analytics (HEOR)
About The Position
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.
Requirements
- 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
Responsibilities
- 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
Benefits
- 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
- family support benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
