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US Food and Drug Administration
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FDA NLP Consumer Data Review Fellowship U.S. Food and Drug Administration (FDA) in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Monthly stipend commensurate with educational level and experience; appointment initially for one year and renewable subject to FDA recommendation and availability of funds.
Deadline
Nov 23, 2026
Country
United States
University
US Food and Drug Administration
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About this position
This research fellowship places a participant within the U.S. Food and Drug Administration’s Center for Drug Evaluation and Research (CDER) in Silver Spring, Maryland, where the focus is on improving how consumer study responses are reviewed for over-the-counter drug approval. Consumer studies can generate large volumes of verbatim responses, and the project explores how natural language processing can help automate the review of these qualitative data.
Working with FDA researchers and under the guidance of mentor Yong Ma, the fellow will join a community of scientists and researchers applying NLP to a regulatory setting. The project is centered on processing, analyzing, and classifying consumer study responses so that review workflows may become more accurate and efficient.
The training experience includes exposure to core NLP concepts and methods, from tokenization and named entity recognition to rule-based and machine learning-based approaches. The participant will also examine model performance, interpret results in a regulatory context, and consider sources of bias and error in NLP-assisted review.
The opportunity sits inside FDA’s broader mission to ensure safe and effective drugs are available to improve health in the United States, with CDER overseeing over-the-counter and prescription drugs, including biological therapeutics and generics. The environment is research-oriented and applied, combining public health regulation with modern text analytics.
Funding details
Monthly stipend commensurate with educational level and experience; appointment initially for one year and renewable subject to FDA recommendation and availability of funds.
What's required
The qualified candidate should be currently pursuing or have received a master's or doctoral degree in a relevant field. The opportunity is available only to U.S. citizens and Lawful Permanent Residents (LPR). All application documents must be in English or accompanied by an official English translation. Proof of health insurance is required, and a successful background investigation by the Office of Personnel Management is required for onboarding; eligibility also requires having lived in the United States for a total of three of the past five years.
How to apply
Apply through the Zintellect opportunity page and click APPLY at the bottom of the listing. Submit an application, transcripts, a current resume/CV, and one educational or professional recommendation. Direct questions to [email protected] and include the reference code FDA-CDER-2026-0193.
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Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.