Pharmacometrician & Systems Pharmacologist

ROLE SUMMARY

The Pharmacometrics & Systems Pharmacology (PSP) group is seeking a highly motivated quantitative scientist to support the Internal Medicine portfolio through the application of model-informed drug development (MIDD). This role will use pharmacometrics, systems pharmacology, and/or quantitative biology approaches to inform decision‑making across drug discovery and clinical development.

The successful candidate will contribute to the development and application of quantitative models to support and accelerate the discovery and development of novel therapeutics. This individual will work in multidisciplinary teams to design studies, interpret data, and guide strategy using mechanistic and/or data‑driven modeling approaches.

• Develop and apply pharmacometric and/or mechanistic QSP models to support translational and clinical drug development.
• Perform quantitative analyses including population PK/PD modeling, exposure–response modeling (semi‑mechanistic to empirical), disease progression modeling, model‑based meta‑analysis, and systems pharmacology/mechanistic modeling.
• Integrate diverse data sources (preclinical, clinical, literature, biomarkers) for model development and validation.
• Integrate artificial intelligence into data workflows and analytics.
• Contribute to the development and execution of MIDD strategies across programs, informing key decisions such as dose and regimen selection, study design and optimization, go/no‑go decisions, and identifying opportunities where modeling can enhance understanding of efficacy, safety, and disease biology.
• Partner closely with clinical pharmacology, statistics, clinical, translational, and biology teams and serve as a quantitative expert on multidisciplinary project teams.
• Communicate modeling results and insights to technical and non‑technical stakeholders.
• Contribute to internal scientific strategy and methodological innovation, preparing high‑quality technical reports, presentations, and regulatory documentation.
• Author or contribute to scientific publications and external presentations and mentor junior scientists to best practices in quantitative pharmacology.

• 0‑3+ years post Ph.D. (or equivalent e.g. Pharm.
  
  D., or M.D.) in pharmacometrics, pharmacokinetics/pharmacodynamics, systems pharmacology, applied mathematics, engineering, physics, statistics, computational biology, mathematical biology, or related quantitative discipline.
• Demonstrated experience in quantitative modeling and simulation applied to biological or clinical systems.
• Proven ability to work effectively in multidisciplinary teams.
• Basic understanding and strong interest in biology and pathophysiology.
• Strong written and verbal communication skills.

• Postdoctoral research experience strongly preferred.
• Experience in metabolic diseases (obesity, type 2 diabetes, etc.) preferred.
• Experience applying MIDD approaches in pharmaceutical or biotechnology settings.
• Expertise in one or more of the following tools: NONMEM, Monolix, or similar population modeling tools; R, Julia, MATLAB, Python, or equivalent computational platforms.
• Knowledge of drug development processes (preclinical to clinical).

• Brings strong quantitative rigor and problem-solving ability.
• Is comfortable working across modeling paradigms (mechanistic and statistical).
• Can translate complex analyses into actionable insights.
• Thrives in a fast‑paced, team‑oriented research environment.

This role will directly contribute to advancing innovative therapies in Internal Medicine by enabling data‑driven, model‑informed decisions that improve the efficiency, robustness, and success of drug development programs.

Hybrid.

May be available based on business needs and/or eligibility.

U.S. work visa sponsorship (such as TN, O‑1, H‑1B, etc.) is not available for this role now or in the future.

Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require…