Scientist, Drug Metabolism

Gilead Sciences • Foster City, CA

6d • $146,540 - $189,640 • Onsite

About The Position

At Gilead, the Scientist, Drug Metabolism supports pharmacokinetic (PK) and pharmacokinetic/pharmacodynamic (PK/PD) modeling across discovery and development, with an emphasis on large-molecule therapeutics such as biologics, antibody-drug conjugates (ADCs), and multispecific/T-cell engagers. The role applies mechanistic and translational modeling to study design, human PK and dose predictions, and program decision-making. This is a site-based position at Gilead’s Foster City campus.

The position provides modeling support across discovery and development, contributes to the design and interpretation of nonclinical PK, toxicology, and pharmacology studies, and works with interdisciplinary project teams to apply quantitative DMPK approaches. It develops and applies mechanistic PK/PD models and modeling-and-simulation workflows to address translational questions, support dose selection, predict first-in-human exposures, and interpret nonclinical data. The role analyzes and communicates results and recommendations, supports timely delivery of analyses and documents for regulatory submissions in collaboration with project teams, line management, and CROs, and contributes quantitative modeling expertise to business development and licensing evaluations.

The role requires a Ph.D. with at least 0 years of postgraduate industry experience, or a master’s degree with at least 4 years of postgraduate industry experience, in PK, drug metabolism, pharmaceutics, or a related field, with a focus on quantitative PK/PD modeling. Preferred qualifications include a degree concentration in engineering or pharmacology and experience with large-molecule therapeutics. The salary range is $146,540 to $189,640. The position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives, paid time off, and company-sponsored medical, dental, vision, and life insurance plans.

Requirements

• Ph.D. and 0 or more years of postgraduate industry experience in PK, drug metabolism, pharmaceutics, or a related field, focused on quantitative PK/PD modeling; alternatively, a master’s degree and 4 or more years of postgraduate industry experience in a relevant field with the same focus.
• Strong foundation in PK/PD principles and mathematical modeling, with knowledge of large-molecule disposition, TMDD, target engagement, and translational PK.
• Experience with mechanistic PK/PD and multi-compartmental modeling.
• Proficiency in Phoenix/WinNonlin, MATLAB/SimBiology, R, GastroPlus, or equivalent tools.
• Ability to design and interpret modeling workflows, draw conclusions from quantitative analyses, and clearly communicate results to diverse audiences.
• Experience applying AI to model building and/or automation of modeling workflows.
• Intellectual curiosity and interest in advances in biologics DMPK and quantitative modeling, with scientific contributions demonstrated through publications, presentations, and/or professional activities.

Nice To Haves

• Degree concentration in engineering or pharmacology.
• Experience with large-molecule therapeutics, including biologics, ADCs, multispecific antibodies/T-cell engagers, or other protein therapeutics.

Responsibilities

• Provide PK and PK/PD modeling support across discovery and development, particularly for large molecules such as biologics, ADCs, and multispecific/T-cell engagers.
• Contribute to the design and interpretation of nonclinical PK, toxicology, and pharmacology studies.
• Work with interdisciplinary project teams to apply quantitative DMPK strategies and modeling approaches to program questions and decision-making.
• Develop and apply mechanistic PK/PD models to address translational questions, support dose selection, and predict first-in-human exposures, including modeling of large-molecule PK, TMDD, target engagement, and nonlinear disposition.
• Develop and apply modeling and simulation workflows to support nonclinical study design and data interpretation, incorporating AI-based approaches where appropriate.
• Analyze and communicate modeling results and recommendations to project teams, collaborators, and management.
• Work with project teams, line management, and CROs to support high-quality, timely delivery of analyses and documents for regulatory submissions.
• Contribute quantitative modeling expertise to business development and licensing evaluations.

Benefits

• Potential eligibility for a discretionary annual bonus.
• Potential eligibility for discretionary stock-based long-term incentives; eligibility may vary by role.
• Paid time off.
• Company-sponsored medical insurance.
• Company-sponsored dental insurance.
• Company-sponsored vision insurance.
• Company-sponsored life insurance.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level