Backed by GV.
About the role
This position will serve as the lead statistical programmer for assigned real-world analytics and programming studies, independently managing programming activities from study initiation through final deliverables. The individual will be responsible for translating study protocols, statistical analysis plans (SAPs), and analysis specifications into high-quality, reproducible programming solutions and study outputs.
What they're looking for
- BS/MS degree in Statistics, Biostatistics, Computer Science, Data Science, Epidemiology, Mathematics, or a related quantitative discipline
- 8+ years of statistical programming experience in pharmaceutical, biotechnology, CRO, healthcare research, or related settings for Senior-level candidates
- Demonstrated experience independently leading programming activities for observational research, HEOR, epidemiology, or real-world evidence studies
- Strong SAS or R programming experience required, including experience developing analysis datasets and study deliverables from complex healthcare data sources
- Experience with SQL required and working knowledge of R or other programming language for data manipulation, analytics support, and quality control activities preferred
- Experience developing analysis datasets, tables, listings, and figures (TLFs) from complex healthcare or real-world data sources
More about this role
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.
This position will serve as the lead statistical programmer for assigned real-world analytics and programming studies, independently managing programming activities from study initiation through final deliverables. The individual will be responsible for translating study protocols, statistical analysis plans (SAPs), and analysis specifications into high-quality, reproducible programming...
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