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Job description
Revolution Medicines is a late-stage clinical oncology company developing novel targeted therapies for patients with RAS-addicted cancers. The company’s R&D pipeline comprises RAS(ON) inhibitors designed to suppress diverse oncogenic variants of RAS proteins. The company’s RAS(ON) inhibitors daraxonrasib (RMC-6236), a RAS(ON) multi-selective inhibitor; elironrasib (RMC-6291), a RAS(ON) G12C-selective inhibitor; zoldonrasib (RMC-9805), a RAS(ON) G12D-selective inhibitor; and RMC-5127, a RAS(ON) G12V-selective inhibitor, are currently in clinical development. As a new member of the Revolution Medicines team, you will join other outstanding professionals in a tireless commitment to patients with cancers harboring mutations in the RAS signaling pathway.
The Opportunity:
This position is to serve as lead statistician for oncology studies, and to coordinate activities with other functional groups to ensure timely deliverables.
Represent biostatistics on study/project teams.
Provide statistical expertise for design, analysis and reporting of clinical studies.
Collaborate with various functions on study design and planning, protocol development, statistical methodology and analysis.
Develop statistical analysis plans and analysis specifications.
Collaborate with statistical programming to ensure that analysis is conducted per statistical plan and specifications.
Collaborate with data management and clinical operations to ensure robust database development and quality data collection.
Provide statistical input to regulatory interaction and response to health authority submissions.
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 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician for clinical trials. Level will be determined based on the relevance of experience.
Hands-on experience in design and analysis of oncology trials is a must.
Ability to work independently and within a team.
Ability to apply statistical knowledge to solve real-world problems and acquire new knowledge in advanced statistical methods (e.g., Bayesian methods, predictive modeling etc.)
Excellent verbal and written communication skills are required.
Good interpersonal and project management skills are essential.
Proficiency in SAS and/or R.
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 CCA Notice and Privacy Policy. For additional information, please contact
Base Pay Salary Range
$211,000 - $264,000 USD
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Worksite address
san francisco, CA, 94199, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.