Backed by GV.
About the role
Be a statistical modeler and support the pharmacometrics functions in the department. Build standard statistical models to conduct standard exposure-response (ER) analysis and drug-drug interaction (DDI) analysis in clinical studies.
What they're looking for
- Ph.D. or equivalent in Statistics, Biostatistics, Mathematics or related field
- Internship or work experience in biotechnology or pharmaceutical industry to include:
- Track record of applying statistical methods to real-world datasets, including implementing advanced statistical methods,
- Presenting complex concepts and results to both specialist and non-specialist audiences in biotech or pharmaceutical setting,
- Knowledge and hands-on experience in hierarchical models and Bayesian inference, with application to real-world data,
- Demonstrated experience in statistical modeling, including generalized linear models (GLMs), survival models, and mixed-effects models,
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.
Be a statistical modeler and support the pharmacometrics functions in the department.
Build standard statistical models to conduct standard exposure-response (ER) analysis and drug-drug interaction (DDI) analysis in clinical studies.
Develop and apply state-of-the-art statistical and machine learning methods to identify the associations between exposures and responses.
Interpret ER results to...
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