Director, Biostatistics & Medical Analytics

Revolution Medicines; San Francisco (CA); On-site; USD 211,000 - 264,000; Full time

Job summary

A late-stage oncology company in San Francisco is seeking a highly motivated Director of Biostatistics to lead statistical initiatives in clinical development. The role requires a Ph.D. or M.S. in Biostatistics with extensive experience in the biotech/pharma industry. Responsibilities include providing strategic statistical leadership, collaborating with cross-functional teams, and mentoring junior statisticians. The salary range for this position is between $211,000 and $264,000, reflecting the expertise needed in oncology statistics and real-world evidence.

Qualifications

• Minimum of 8 years of experience (Ph.D.) or 12 years (M.S.) in the biotech/pharma industry.
• Solid knowledge of statistical methodologies for oncology.
• Hands-on experience in exploratory analysis of oncology trials.

Responsibilities

• Provide statistical leadership for exploratory data analyses.
• Serve as the primary statistical contact for assigned projects.
• Lead the design and interpretation of complex statistical models.
• Manage relationships with external partners and CROs.
• Mentor junior statisticians and foster scientific rigor.

Skills

Statistical methodologies for oncology

Survival analysis

Causal inference

Independent project leadership

SAS

R

Communication skills

Project management skills

Education

Ph.D. or M.S. in Statistics/Biostatistics

Tools

SAS

R

Job description

A late-stage oncology company in San Francisco is seeking a highly motivated Director of Biostatistics to lead statistical initiatives in clinical development. The role requires a Ph.D. or M.S. in Biostatistics with extensive experience in the biotech/pharma industry. Responsibilities include providing strategic statistical leadership, collaborating with cross-functional teams, and mentoring junior statisticians. The salary range for this position is between $211,000 and $264,000, reflecting the expertise needed in oncology statistics and real-world evidence.