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Pharmacometrician & Systems Pharmacologist

Posted 2 Days Ago
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Hybrid
Groton, CT
106K-177K Annually
Junior
Hybrid
Groton, CT
106K-177K Annually
Junior
The Pharmacometrician & Systems Pharmacologist role involves developing quantitative models for drug discovery and clinical development, focusing on pharmacometrics, systems pharmacology, and model-informed drug development, while collaborating with multidisciplinary teams.
The summary above was generated by AI
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
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 Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.
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.
Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected] . This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned.
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