Manager, Real-World Data and Analytics (HEOR)
Regeneron
August 22, 2026
On-site
Sleepy Hollow, NY
Market Access
Discover Your Role
- Support the development of RWE queries, protocols, and SAPs in the oncology therapeutic area.
- Perform analyses of RWD using established methodologies and communicate findings to project teams and RWDnA colleagues.
- Support the preparation of presentations, publications, and other communication materials summarizing RWE findings.
- Provide operational support for interactions with external analytics vendors, including tracking deliverables and coordinating project activities.
This Role Requires
- Doctoral degree in a quantitative field applying data science to healthcare data, or a Master’s in a related field with 3+ years of relevant hands-on programming experience.
- Advanced programming skills in SAS and R.
- Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo) and electronic health records.
- Proficiency in statistical methods including survival analysis, propensity score methods, and generalized linear models.
- Ability to work collaboratively in cross-functional environments.
- Oncology experience (preferred).
Application instructions
- Apply now.
- Support the development of RWE queries, protocols, and SAPs in the oncology therapeutic area.
- Perform analyses of RWD using established methodologies and communicate findings to project teams and RWDnA colleagues.
- Support the preparation of presentations, publications, and other communication materials summarizing RWE findings.
- Provide operational support for interactions with external analytics vendors, including tracking deliverables and coordinating project activities.
This Role Requires
- Doctoral degree in a quantitative field applying data science to healthcare data, or a Master’s in a related field with 3+ years of relevant hands-on programming experience.
- Advanced programming skills in SAS and R.
- Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo) and electronic health records.
- Proficiency in statistical methods including survival analysis, propensity score methods, and generalized linear models.
- Ability to work collaboratively in cross-functional environments.
- Oncology experience (preferred).
Application instructions
- Apply now.