Associate Director, Translational PK/PD
Listed on 2026-08-16
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Research/Development
Data Scientist, Research Scientist
Scientific Associate Director, Translational PK/PD
The department of Pharmacokinetics, Dynamics, Metabolism & Bioanalytics (PDMB) is seeking a curious and collaborative Scientific Associate Director for our growing Translational PK/PD organization. The Translational PK/PD Associate Director is an expert mathematical modeler and scientist who independently designs and executes analyses with minimal supervision, guiding drug discovery strategy with a focus on biologics, protein therapeutics, and peptides.
The Translational PK/PD Scientific Associate Director will:
- Serve as expert PK/PD modeler in cross-functional teams, to make model-informed decisions about drug discovery, modality selection, and dose prediction across therapeutic areas;
- Integrate in vitro and in vivo data to build PKPD, PBPK, quantitative systems pharmacology (QSP), or other mechanistic modeling platforms of drug disposition and pharmacology, to support forward/reverse translation for both established and novel therapeutic targets;
- Collaborate across our PDMB and broader Discovery / Translational organization to design experimental studies and modeling plans, to identify and optimize drug candidates and guide broader translational strategy across programs;
- Guide the design of automated workflows for implementing modeling platforms, to inform human PK/PD and dose projections;
- Provide scientific and modeling guidance to junior colleagues.
In addition to the responsibilities described above, the Associate Director will demonstrate excellent leadership and communication skills, building effective partnerships across departments to guide model-informed drug discovery.
NOTE:
This role is available in South San Francisco, CA, West Point, PA or Boston, MA based on candidate preference.
QUALIFICATIONS:
Education:
- Master's (with 8+ years), PharmD (with 6+ years) or Ph.D. (with 4+ years) in pharmacokinetics/pharmacodynamics, mathematics, applied mathematics, systems biology, computational biology, chemical/biomedical engineering, statistics/biostatistics or related discipline and experience with increasing responsibility and independence in drug discovery / development, within industry, academia, regulatory or non-profit settings
Required
Experience and Skills:
- Experience performing hands-on translational PKPD modeling using standard modeling software (e.g., Matlab, OSP Suite, Monolix, R), for discovery / development of biologics, protein therapeutics, and/or peptides
- Expert skills in experimental design, mathematical problem solving, critical data analysis/interpretation, and statistics
Preferred
Experience and Skills:
- Demonstrated experience working in interdisciplinary teams and in collaborative problem scoping/planning
- Expertise in developing novel translational modeling strategies or automated workflows that rely on PBPK, QSP, or related mechanistic modeling
Required Skills:
Biologics, Biostatistics, Data Analysis, Data Modeling, Data Science, Drug Discovery Process, Interdisciplinary Collaboration, MATLAB, Peptides, Pharmacodynamics, Pharmacokinetics, Pharmacotherapeutics, PKPD Modeling, Proteins, Statistical Analysis, Translational Pharmacokinetics and Pharmacodynamics (PKPD)
Preferred
Skills:
The salary range for this role is $ - $. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.
The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.
We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days.
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