Senior Quantitative Scientist
Core
Foundational member of the Quantitative Sciences organization establishing rigorous, reproducible, and regulatory-grade evidence generation using real-world data assets.
Role type
Senior quantitative scientist (real-world evidence)
Builds
Scalable data validation, curation, and analytic processes for life sciences organizations
Domain
Life sciences / Real-world evidence (RWE) / Health data analytics
Deliverable
production ML models | dashboards & analysis
Required skills
Advanced degree in biostatistics/epidemiology/data science, 5-10+ years RWD experience, R programming, data quality assessment, reproducible coding practices, statistical analysis planning, visualization
Preferred skills
Experience with EMR/claims/registry data, cross-functional partnership, client-facing presentation
Technologies
R
Responsibilities
Design and implement validation frameworks and data quality checks, develop statistical analysis plans and analytic code for descriptive/comparative/predictive analyses, create data dictionaries and documentation, partner with Product/Engineering/Clinical teams to align data strategy, translate complex results into visualizations for scientific/regulatory audiences
Seniority
Senior, hands-on IC
