Director, Clinical Pharmacology Modelling and Simulation (CPMS) Oncology
GSK
August 11, 2026
Remote friendly (Collegeville, PA)
United States
Clinical Research and Development
Position Summary
Director, Oncology Clinical Pharmacology Modelling and Simulation (CPMS) (Hybrid)
Responsibilities
- Define and execute model-based development strategies for oncology projects.
- Plan, conduct, and report population PK and exposure-response analyses; simulation-based trial design and dose selection.
- Present strategy and defend model-based outcomes to internal governance boards and regulatory agencies.
- Contribute to clinical program design, trial protocols, analysis plans, study reports, and regulatory submissions.
- Write/review clinical pharmacology components of regulatory documents to support approvals and optimum labeling.
- Interact with line/middle management, staff, and external contacts strategically and tactically.
- Apply drug-disease modeling, longitudinal exposure-response, model-based meta-analysis, quantitative systems pharmacology, and AI/ML-informed analyses.
- Implement best practices and lessons learned to advance CPMS contributions to the R&D pipeline.
- Promote model-informed drug discovery/development via external collaboration, journal publication, and conference presentation.
Qualifications (Required)
- PhD in Quantitative Clinical Pharmacology and Pharmacometrics (e.g., pharmacology, engineering, statistics) plus modeling/simulation experience in industry/academia; or PharmD/Master’s with 3+ years relevant experience.
- 5+ years leveraging population PK and exposure-response modeling; proficiency in NONMEM or R.
- 3+ years planning, performing, and reporting model-based analysis of clinical data per industry/regulatory standards.
Preferred
- Oncology drug development experience; knowledge of oncology disease biology/mechanisms/trial design/endpoints.
- Advanced pharmacometrics (mechanistic PKPD, longitudinal disease modeling, model-based meta-analysis, adaptive dosing).
- Experience with AI/ML in pharmacometrics; collaboration; stakeholder management; MID3 track record.
Working Arrangement
- Hybrid; on-site 2–3 days/week.
Benefits/Compensation
- US base salary (Cambridge, MA; Waltham, MA; Rockville, MD; San Francisco, CA): $188,100–$313,500; annual bonus; share-based long-term incentive; health/insurance, retirement, paid holidays/vacation, caregiver/parental and medical leave.
Director, Oncology Clinical Pharmacology Modelling and Simulation (CPMS) (Hybrid)
Responsibilities
- Define and execute model-based development strategies for oncology projects.
- Plan, conduct, and report population PK and exposure-response analyses; simulation-based trial design and dose selection.
- Present strategy and defend model-based outcomes to internal governance boards and regulatory agencies.
- Contribute to clinical program design, trial protocols, analysis plans, study reports, and regulatory submissions.
- Write/review clinical pharmacology components of regulatory documents to support approvals and optimum labeling.
- Interact with line/middle management, staff, and external contacts strategically and tactically.
- Apply drug-disease modeling, longitudinal exposure-response, model-based meta-analysis, quantitative systems pharmacology, and AI/ML-informed analyses.
- Implement best practices and lessons learned to advance CPMS contributions to the R&D pipeline.
- Promote model-informed drug discovery/development via external collaboration, journal publication, and conference presentation.
Qualifications (Required)
- PhD in Quantitative Clinical Pharmacology and Pharmacometrics (e.g., pharmacology, engineering, statistics) plus modeling/simulation experience in industry/academia; or PharmD/Master’s with 3+ years relevant experience.
- 5+ years leveraging population PK and exposure-response modeling; proficiency in NONMEM or R.
- 3+ years planning, performing, and reporting model-based analysis of clinical data per industry/regulatory standards.
Preferred
- Oncology drug development experience; knowledge of oncology disease biology/mechanisms/trial design/endpoints.
- Advanced pharmacometrics (mechanistic PKPD, longitudinal disease modeling, model-based meta-analysis, adaptive dosing).
- Experience with AI/ML in pharmacometrics; collaboration; stakeholder management; MID3 track record.
Working Arrangement
- Hybrid; on-site 2–3 days/week.
Benefits/Compensation
- US base salary (Cambridge, MA; Waltham, MA; Rockville, MD; San Francisco, CA): $188,100–$313,500; annual bonus; share-based long-term incentive; health/insurance, retirement, paid holidays/vacation, caregiver/parental and medical leave.