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.
Candidates from diverse quantitative backgrounds, including pharmacometrics, systems pharmacology, applied mathematics, engineering, statistics, or related disciplines will be considered.
KEY RESPONSIBILITIES:
Quantitative Modeling & Simulation:
Develop and apply pharmacometric and/or mechanistic QSP models to support translational and clinical drug development
Perform quantitative analyses including (as appropriate):
Population PK/PD modeling
Exposure-response modeling (semi-mechanistic to empirical)
Disease progression modeling
Model-based meta-analysis
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
Model-Informed Drug Development (MIDD)
Contribute to the development and execution of MIDD strategies across programs
Inform key decisions including:
Dose and regimen selection
Study design and optimization
Go/no-go decisions
Identify opportunities where modeling can enhance understanding of efficacy, safety, and disease biology
Cross-Functional Collaboration
Partner closely with clinical pharmacology, statistics, clinical, translational, and biology teams
Serve as a quantitative expert on multidisciplinary project teams
Communicate modeling results and insights to technical and non-technical stakeholders
Scientific Leadership
Contribute to internal scientific strategy and methodological innovation
Prepare high-quality technical reports, presentations, and regulatory documentation
Author or contribute to scientific publications and external presentations
Mentor junior scientists and contribute to best practices in quantitative pharmacology
BASIC QUALIFICATIONS:
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
PREFERRED QUALIFICATIONS:
Postdoctoral research experience strongly preferred
Experience in metabolic diseases preferred (obesity, type 2 diabetes etc)
Experience applying MIDD approaches in pharmaceutical or biotechnology settings
Expertise in one or more of the following:
NONMEM, Monolix, or similar population modeling tools
R, Julia, MATLAB, Python, or equivalent computational platforms
Knowledge of drug development processes (preclinical to clinical)[VS3]
-Basic understanding and strong interest in biology and (patho)-physiology
- Strong written and verbal communication skills
CANDIDATE PROFILE
We are seeking a scientifically curious, collaborative, and impact-driven individual who:
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
IMPACT
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.
Work Location Assignment: Hybrid
#LI-PFE
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution, paid vacation, holiday and personal days, paid caregiver/parental and medical leave, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States.
Relocation assistance may be available based on business needs and/or eligibility.
Candidates must be authorized to be employed in the U.S. by any employer.
U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future.
Sunshine Act
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EEO & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status. Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Pfizer is an E-Verify employer. This position requires permanent work authorization in the United States.
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