Scientist II, Pharmacometrician

Revolution Medicines•Redwood City, CA

45d•$132,000 - $199,000•Hybrid

About The Position

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. 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.

Requirements

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.

Responsibilities

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.