Associate Director, Biostatistics, Clinical Late Stage

Revolution Medicines, Inc.; San Francisco (CA); On-site; USD 186,000 - 233,000; Full time

Job summary

Revolution Medicines, Inc. in Redwood City, CA is seeking an Associate Director of Biostatistics to provide statistical leadership across oncology studies in late-stage development.

You will guide study design, analysis, and reporting while collaborating with cross-functional teams to ensure regulatory readiness and data quality. The role emphasizes independent work and strong communication, with on-site requirements at the headquarters and focus on data-driven decision making for future

Qualifications

• Ph.D. or M.S. in Statistics/Biostatistics with relevant biotech/pharma experience.
• Hands-on design/analysis of late-stage oncology trials required.
• Strong communication and collaboration abilities.

Responsibilities

• Represent biostatistics on study and cross-functional teams.
• Lead biostatistical activities with rigor and timely deliverables.
• Develop SAPs and analysis specs aligned with regulatory objectives.
• Collaborate with data management and clinical operations for robust data collection.
• Provide statistical input for regulatory documents and submissions.
• Inform decision-making with data-driven insights.

Skills

SAS/R

Late-stage Oncology

Statistical Leadership

Communication

Project Management

Education

PhD in Statistics/Biostatistics

MS in Statistics/Biostatistics

Tools

SAS

R

Job description

Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON) tri-complex inhibitor platform, the company is advancing a broad, integrated portfolio of oral RAS(ON) inhibitors designed to directly target the active, cancer-driving state of RAS. Founded on rigorous scientific inquiry and a willingness to challenge long-held assumptions, Revolution Medicines is committed to changing the trajectory of disease for patients with RAS-addicted cancers worldwide.

Our people are united by a shared way of working: follow the science, challenge assumptions, act with urgency and hold ourselves to a high standard of rigor - all in service of patients.

The Opportunity

This position serves as a study level statistician for oncology studies in clinical late-stage development and provides leadership across biostatistical activities. The Associate Director will collaborate across functions and contribute to program-level decision-making.

• Represent biostatistics on study and cross-functional project teams, providing statistical leadership.
• Lead and manage biostatistical activities to ensure consistency, scientific rigor, and timely deliverables.
• Provide statistical expertise for design, analysis and reporting of clinical studies.
• Develop statistical analysis plans and analysis specifications; ensure analyses align with clinical and regulatory objectives.
• Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications and delivered with high quality.
• Collaborate with data management and clinical operations to ensure robust CRF and database development and quality data collection.
• Provide statistical input to the development of global health authority documents, regulatory interaction, and response to health authority submissions.
• Influence strategy and inform decision-making through data-driven insights and clear communication of risk and benefit.
• Collaborate in publications, assist in data interpretation, and ensure consistency and accuracy in data presentation.
• Contribute to the development of functional-level standards, SOPs, and templates.
• Keep abreast in new developments in statistics, drug development, and regulatory guidance and share knowledge with functional and cross-functional team members.

Required Skills, Experience and Education

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician. Level will be determined based on the relevance of experience.
• Hands-on experience in design and analysis of late-stage oncology trials is a must.
• Ability to work independently and within a team.
• Solid knowledge in ICH and other regulatory requirements related to biostatistical activities and clinical trials.
• Excellent verbal and written communication skills are required.
• Good interpersonal and project management skills are essential.
• Proficiency in SAS and/or R.

Preferred Skills

• Hands-on experience in design and analysis of phase 3 oncology trials is desirable.

The base pay salary range for this full-time position for candidates working onsite at our headquarters in Redwood City, CA is listed below. The range displayed on each job posting is intended to be the base pay salary range for an individual working onsite in Redwood City and will be adjusted for the local market a candidate is based in. Our base pay salary ranges are determined by role, level, and location. Individual base pay salary is determined by multiple factors, including job-related skills, experience, market dynamics, and relevant education or training.

Please note that base pay salary range is one part of the overall total rewards program at RevMed, which includes competitive cash compensation, robust equity awards, strong benefits, and significant learning and development opportunities.

Revolution Medicines is an equal opportunity employer and prohibits unlawful discrimination based on race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, disability, marital status, medical condition, and veteran status.

Revolution Medicines takes protection and security of personal data very seriously and respects your right to privacy while using our website and when contacting us by email or phone. We will only collect, process and use any personal data that you provide to us in accordance with our CCAA Notice and Privacy Policy. For additional information, please contact [e-mail].

Base Pay Salary Range

$186,000 - $233,000 USD