Data Scientist II, Real World Evidence, Life Sciences R&D
Core
Lead observational studies and derive insights from complex real-world clinical data to support pharmaceutical partners in trial design and outcomes research.
Role type
Senior IC data scientist (real-world evidence)
Builds
Real-world evidence research plans, analytical studies, and reusable code packages for oncology and life sciences
Domain
Life Sciences / Oncology / Real-World Data
Deliverable
production ML models
Required skills
Survival analysis, R, SQL, Machine learning, LLM-based coding assistants, Agentic frameworks, Epidemiological study design
Preferred skills
Clinical trial design, Claims/EHR/registry data analysis, Cloud platforms (AWS/BigQuery/GCP), Biomarker/molecular data, Oncology guidelines (NCCN)
Responsibilities
Partner with pharma collaborators to execute RWE research plans; Lead derivation of complex real-world endpoints; Contribute to reusable code and internal packages; Incorporate AI tools into workflows; Interpret RWE analysis results and communicate findings to stakeholders; Collaborate with cross-functional teams to enhance data quality and analytical practices
Seniority
Senior, hands-on IC