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# Senior Manager, Real-World Data And Analytics (Heor)-1

- **Company:** Regeneron
- **Location:** Sleepy Hollow, NY, United States
- **Experience:** Expert
- **Salary:** $150,500.0 - $245,500.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Computer Programming, Generalized Linear Model, Machine Learning, SAP (Applications), SAS (Software), Electronic Medical Records, Data Analytics
- **Published:** October 15, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-manager-real-world-data-and-analytics-heor-1-north-tarrytown-ny--db824f79-e7e7-450c-84df-c7204a13c045

## About the Role

Data Analysis, Oncology, SAP, Statistics, Publications, Analysis Skills, Medical Products, Vendor/Supplier Management, Disease, Data Analysis, * 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