Director, Medical Analytics and Exploratory Data Science

Revolution Medicines seeks a statistical leader for their Medical Analytics and Exploratory Data Science group to drive analyses on clinical trial data, real-world evidence, and health economics research for their RAS-targeted oncology pipeline.

Key Responsibilities

• Deliver statistical oversight for exploratory analyses using clinical trial and real-world data
• Function as primary statistical liaison for assigned initiatives across clinical, medical affairs, safety, and regulatory teams
• Direct design and interpretation of survival analysis, machine learning, and causal inference models
• Establish statistical policies and quality standards
• Oversee external partner relationships and CRO performance
• Mentor junior statisticians and contribute to scientific publications and regulatory interactions

Required Qualifications

• Ph.D. or M.S. in Statistics/Biostatistics with 8+ years (Ph.D.) or 12+ years (M.S.) pharma/biotech experience
• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference
• Hands-on oncology trial analysis experience
• Independent leadership of complex, cross-functional statistical projects
• Understanding of regulatory requirements for biostatistics and clinical trials
• Proficiency in SAS and/or R

Preferred Qualifications

• Real-world data and health economics research knowledge in oncology
• Familiarity with machine learning or advanced modeling for biomedical data

Compensation: $211,000 - $264,000 USD. Work arrangement: Hybrid (Redwood City, CA headquarters).