Postdoctoral Fellow, Quantitative Systems Pharmacology

Pfizer • Cambridge, MA

3d • $64,600 - $107,600 • Hybrid

About The Position

Quantitative Systems Pharmacology (QSP) is a scientific discipline that applies mechanistic, mathematical models and disease platforms to improve the robustness and quality of decision-making across the drug discovery and development process, from discovery research to clinical development. The Pharmacometrics and Systems Pharmacology group at Pfizer, together with the Clinical & Translation Biomarkers team, is seeking a highly motivated postdoctoral fellow to develop, advance, and analyze an end-to-end mechanistic QSP model to better understand therapeutic benefits of incretin therapies beyond weight loss and to generate testable hypotheses for novel mechanisms and indications. The successful candidate will hold a Ph.D. in Applied Mathematics, Engineering, Physics, Pharmaceutical Sciences, Pharmacology, or a closely related discipline, with a strong quantitative mechanistic modeling background and a demonstrated record of scientific publication.

Requirements

• Ph.D. in Applied Mathematics, Mathematical Biology, Chemical Engineering, Biomedical Engineering, Physics, Pharmaceutical Sciences, Pharmacology, or related discipline with strong numerical components focusing on mathematical modeling and simulation.
• No more than 2 years of post-degree experience.
• Training or previous experience in building QSP or differential-equation-based models of biological or physiological pathways/systems.
• Understanding of theory, principles, and statistical aspects of mathematical modeling and simulation, including parameter estimation techniques.
• Knowledge of modeling, simulation software (MATLAB or Julia preferred), and AI agents.
• Willingness to make a minimum 2-year commitment.
• Provide two letters of recommendation prior to interview
• Successful record of scientific accomplishments evidenced by scientific publications and/or presentations, including at least one first-author publication in a peer-reviewed journal.

Nice To Haves

• Enthusiasm for learning new areas of biology and building on a solid foundation of quantitative and computational skills.
• In-depth understanding of ordinary differential equations (ODEs) and how these can be applied in the development of complex models of biological pathways and systems.
• Self-directed with ability to work independently.
• Ability to perform as a team player and collaborate cross-functionally in multiple disciplines.
• Excellent communication and writing skills.

Responsibilities

• Identify and integrate relevant data sources for model development, calibration, and validation, including published literature; internal preclinical and clinical study data; clinical biomarker data; and external real-world and multi-omics resources.
• Apply modeling and simulation approaches to predict clinical outcomes, identify novel indications, and provide novel mechanistic insight into incretin therapies.
• Communicate modeling results and strategic insights effectively to scientists from both quantitative and non-quantitative disciplines.
• Serve as primary author on scientific publications and present research findings at internal and external scientific meetings.

Benefits

• 401(k) plan with Pfizer Matching Contributions
• additional Pfizer Retirement Savings Contribution
• paid vacation
• holiday and personal days
• paid caregiver/parental and medical leave
• health benefits to include medical, prescription drug, dental and vision coverage
• Relocation assistance may be available

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree