Senior Oncology Pharmacology Modeling & Simulation Lead

GSK; Upper Providence (Delaware County); Hybrid; USD 180,000 - 230,000; Full time

Job summary

GSK is seeking a highly motivated quantitative clinical pharmacologist to join our Oncology CPMS group within Oncology Translational Medicine. As part of a science-driven team, you will deliver clinical pharmacology and modeling expertise to support research and development programs, working with small molecules, biologics, and ADCs.

The role is hybrid, typically on-site 2–3 days per week, with flexibility to fit business needs and local policy.

Qualifications

• Doctorate or master's in quantitative clinical pharmacology/pharmacometrics.
• 2+ years experience using population PK, exposure–response, and longitudinal modeling.
• Experience with NONMEM, Monolix, and/or R.
• 2+ years designing, analyzing, and reporting clinical pharmacology studies per regulatory standards for associate director level.

Responsibilities

• Lead population PK, exposure–response analyses, and dose selection modeling.
• Apply longitudinal exposure–response analysis and model-based meta-analysis.
• Present strategy and defend model-based approaches to governance boards.
• Contribute to study design, protocols, analysis plans, and regulatory submissions.
• Write clinical pharmacology sections of regulatory documents.
• Promote MIDD approaches and external collaborations.
• Interact with management and external contacts on strategic/tactical levels.
• Publish and present model-informed drug development findings.

Skills

Population PK

Exposure–response analysis

Longitudinal disease modeling

Regulatory communication

Education

Doctorate degree (PharmD, PhD, MD) in quantitative clinical pharmacology

Master's degree in related fields

Tools

NONMEM

Monolix

R

Job description

GSK is seeking a highly motivated quantitative clinical pharmacologist to join our Oncology CPMS group within Oncology Translational Medicine. As part of a science-driven team, you will deliver clinical pharmacology and modeling expertise to support research and development programs, working with small molecules, biologics, and ADCs.

The role is hybrid, typically on-site 2–3 days per week, with flexibility to fit business needs and local policy.