Scientist II, Pharmacometrician

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 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 rigorall in service of patients.

The Opportunity:

• 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 guide dose-finding decisions.

Required Experience Skills and Education:

• 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;

• Proficiency in R and/or SAS programming.

• This position allows for a hybrid work arrangement. The employee must reside in the San Francisco Bay area and may work remotely two (2) days per week.

• Successful completion of background and employment history verification required.

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