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.