Senior Manager, Real-World Data and Analytics (HEOR)

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 data science applications to healthcare data with 2+ years of hands-on programming; or a Master’s degree with 4+ years of hands-on programming
- Hands-on experience with real-world data sources such as large-scale administrative claims data (e.g., Optum, Medicare, Komodo) and EHRs
- Experience in oncology research and 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

Application instructions
- Apply now