> Markdown version of [/jobs/ext/4302359-senior-manager-real-world-data-and-analytics-heor-1](https://www.wearedevelopers.com/jobs/ext/4302359-senior-manager-real-world-data-and-analytics-heor-1). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Manager, Real-World Data and Analytics (HEOR)-1 - **Company:** Regeneron - **Location:** Sleepy Hollow, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Computer Programming, Generalized Linear Model, Machine Learning, SAS (Software), Electronic Medical Records, Data Analytics - **Published:** October 21, 2026 - **Apply:** https://dejobs.org/x/x/10CFA3465D924228B9726CB7F34A85FD/job/ ## About the Role * 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 ## Description * 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