Sr Scientist, Drug Metabolism

Job Description

This position is onsite at our global headquarters in Foster City, CA.

Essential Duties and Job Responsibilities:

• Provide advanced PK and PK/PD modeling expertise on project teams across discovery and development stages, guiding the design and interpretation of nonclinical PK, toxicology, and pharmacology studies.

• Drive quantitative DMPK strategy for programs, collaborating with interdisciplinary teams to integrate modeling approaches into decision-making; communicate modeling insights and align strategies with scientists, collaborators, and management.

• Design, implement, and validate complex PK/PD and mechanistic models to address translational questions, support dose selection, and predict first-in-human exposures.

• Develop and refine modeling workflows for nonclinical study design, including simulation-based approaches to optimize study parameters and interpret outcomes, with application of AI-based enhancements where possible

• Work closely with project teams, line management and CROs to assure high quality and timely delivery of documents for regulatory submissions.

• Participate in business development and licensing evaluations.

Knowledge, Experience and Skills:

 Ph.D. with 5+ years of post-graduate industry experience in PK, drug metabolism, pharmaceutics, or a related life science field, with a primary focus on quantitative modeling of agents (small molecules, biologics, antibody-drug conjugates, targeted protein degraders etc.) for PK and PK/PD characterization across discovery and development.

 Strong foundation in PK and PD principles, with demonstrated ability to translate these concepts into mathematical models.

 Extensive experience in mechanistic PK/PD and multi-compartmental modeling, including proficiency with software platforms such as Phoenix/WinNonlin, MATLAB/SimBiology, GastroPlus, SimBiology, R, or equivalent modeling tools.

 Proven ability to design, implement, and interpret complex modeling workflows, determine next steps based on quantitative insights, and effectively communicate results to project teams and senior management.

 Hands-on experience in application of AI, in model-building and in streamlining and automation of workflows.

 Demonstrated intellectual curiosity and commitment to staying current with advances in biologics DMPK and modeling methodologies, supported by a track record of external visibility through publications, presentations, and/or professional organization involvement.

 Excellent communication skills, particularly the ability to explain complex topics to diverse audiences.