Scientist II, Pharmacometrician

Role: Support pharmacometrics functions as a statistical modeler, developing models for exposure-response and drug-drug interaction analyses in clinical studies. Objectives include applying advanced statistical and machine learning methods to identify exposure-response relationships and guide dose-finding. Responsibilities: build and interpret models such as hierarchical, Bayesian, GLMs, survival, and mixed-effects models; support clinical decision-making. Requirements: Ph.D. in Statistics, Biostatistics, Mathematics, or related; experience with statistical modeling in biotech/pharma, including real-world datasets; proficiency in R/SAS; knowledge of Bayesian inference and hierarchical modeling. Preferred: industry internship/work experience, experience presenting complex results to diverse audiences. HighValue: biometrics, pharmacometrics, exposure-response analysis, DDI modeling, clinical pharmacology. WorkSetup: hybrid, based in Redwood City, CA; option for remote 2 days/week; background verification required. Salary range: $132,000–$199,000 USD, dependent on location and experience.