Director, Translational PK/PD, PBPK Modeling
Merck
13 days ago
Remote friendly (West Point, PA)
United States
Clinical Research and Development
The Translational PK/PD Scientific Director will serve as an expert mathematical modeler and lead mechanistic modeling strategy for drug discovery, focusing on biologics, protein therapeutics, and peptides.
Responsibilities:
- Serve as expert PK/PD modeler on cross-functional teams to enable model-informed decisions for drug discovery, modality selection, and dose prediction.
- Integrate in vitro and in vivo data to build PBPK, QSP, or other mechanistic modeling platforms for forward/reverse translation across established and novel targets.
- Guide software developers to design automated workflows for implementing modeling platforms and informing PK/PD and dose projections.
- Collaborate to develop modeling and simulation strategies to identify and optimize drug candidates.
- Provide scientific guidance and supervision to a team; mentor junior colleagues.
Required:
- Ph.D. (or equivalent) with ≥7 years experience OR PharmD (or equivalent) with ≥9 years OR MS (or equivalent) with ≥11 years; experience in increasing responsibility/independence in drug discovery/development.
- Hands-on translational PKPD and PBPK modeling using standard tools (e.g., Matlab/SimBiology, OSP Suite, Simcyp, Gastroplus, Monolix, R) for biologics/protein therapeutics/peptides.
- Expert skills in mathematical problem solving, data analysis/interpretation, experimental design, and statistics.
Preferred:
- Experience leading interdisciplinary teams and overseeing scientists/software developers.
- Expertise developing novel translational modeling strategies or automated workflows using PBPK/QSP.
Required skills: PBPK modeling, PK/PD modeling, pharmacology, physiologically-based pharmacokinetics, data modeling, dose-response modeling, drug discovery process, MATLAB, stakeholder relationship management, therapeutic proteins.
Application: Apply at https://jobs.merck.com/us/en; deadline stated on posting (job posting end date: 05/28/2026).
Responsibilities:
- Serve as expert PK/PD modeler on cross-functional teams to enable model-informed decisions for drug discovery, modality selection, and dose prediction.
- Integrate in vitro and in vivo data to build PBPK, QSP, or other mechanistic modeling platforms for forward/reverse translation across established and novel targets.
- Guide software developers to design automated workflows for implementing modeling platforms and informing PK/PD and dose projections.
- Collaborate to develop modeling and simulation strategies to identify and optimize drug candidates.
- Provide scientific guidance and supervision to a team; mentor junior colleagues.
Required:
- Ph.D. (or equivalent) with ≥7 years experience OR PharmD (or equivalent) with ≥9 years OR MS (or equivalent) with ≥11 years; experience in increasing responsibility/independence in drug discovery/development.
- Hands-on translational PKPD and PBPK modeling using standard tools (e.g., Matlab/SimBiology, OSP Suite, Simcyp, Gastroplus, Monolix, R) for biologics/protein therapeutics/peptides.
- Expert skills in mathematical problem solving, data analysis/interpretation, experimental design, and statistics.
Preferred:
- Experience leading interdisciplinary teams and overseeing scientists/software developers.
- Expertise developing novel translational modeling strategies or automated workflows using PBPK/QSP.
Required skills: PBPK modeling, PK/PD modeling, pharmacology, physiologically-based pharmacokinetics, data modeling, dose-response modeling, drug discovery process, MATLAB, stakeholder relationship management, therapeutic proteins.
Application: Apply at https://jobs.merck.com/us/en; deadline stated on posting (job posting end date: 05/28/2026).