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US Food and Drug Administration

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FDA Postdoctoral Fellowship - Impact of Proteinuria on Elimination of Monoclonal Antibodies U.S. Food and Drug Administration (FDA) in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

Deadline

Dec 4, 2026

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Country

United States

University

US Food and Drug Administration

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Keywords

Computer Science
Mathematics
Medical Science
Drug Development
Pharmacy
Regulatory Science
Biopharmaceutics
Computational Modelling
Monoclonal Antibodies
Pharmacokinetic
Pharmacodynamic

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About this position

This postdoctoral fellowship is hosted by the U.S. Food and Drug Administration’s Center for Drug Evaluation and Research (CDER) in Silver Spring, Maryland. The project is centered on understanding how proteinuria affects the elimination and pharmacokinetics of biological products, with the goal of improving dose optimization for patients in clinical studies and informing labeling recommendations.

The fellow will contribute to data collection, analysis, modeling, and simulation in a regulatory science environment. The research is specifically tied to clinical pharmacology considerations for patients with proteinuria who are treated with biologic products, making it relevant to translational drug development and regulatory decision-making.

Under the guidance of mentor Jianmeng Chen, the participant will gain experience in biologics development, PK/PD analysis, and computational approaches used in pharmacometrics. The position is embedded in FDA CDER, which regulates over-the-counter, prescription, generic, and biological therapeutics, offering exposure to a public-health-focused research setting.

Funding details

Monthly stipend commensurate with educational level and experience; appointment initially for one year and may be renewed subject to FDA recommendation and availability of funds.

What's required

The candidate should be currently pursuing or have received a doctoral degree in a relevant field such as life science, pharmacy, computer science, or a medicine-related field. Preferred skills include strong analytical, written, and oral communication skills, a strong interest in projects advancing regulatory science and public health, and knowledge of pharmacokinetics, data mining, data analysis, pharmacometrics, and pharmacology. Software skills in NONMEM, R, Python, SAS, or similar tools are preferred. U.S. citizenship or lawful permanent resident status is required, and completion of a successful background investigation is required for onboarding; applicants must have resided in the United States for a total of three of the past five years for the background check.

How to apply

Apply through the Zintellect opportunity page by clicking APPLY at the bottom of the posting. Submit an application, transcripts, a current resume/CV, and one educational or professional recommendation. Contact [email protected] with the reference code if you have questions.

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