Associate Director, Medical Analytics and Exploratory Data Science
About The Position
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: We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.
Requirements
- 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.
- Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.
- Hands-on experience in exploratory analysis of oncology trials.
- Ability to work independently and within a team.
- Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.
- Familiar with regulatory requirements related to biostatistical activities and clinical trials.
- Strong verbal and written communication skills are required.
- Strong interpersonal and project management skills are essential.
- Proficiency in SAS and/or R.
Nice To Haves
- Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.
- Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data.
Responsibilities
- Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.
- Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.
- Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.
- Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.
- Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.
- Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.
- Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.
- Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
251-500 employees
