US Food and Drug Administration
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FDA Data Science and AI Fellowship U.S. Food and Drug Administration (FDA) in United States
Degree Level
Master's
Field of study
Computer Science
Funding
Monthly stipend of $7,600 plus a $532 per month health insurance supplement; funding renewal depends on availability of funds.
Deadline
Nov 27, 2026
Country
United States
University
US Food and Drug Administration
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About this position
This fellowship is hosted by the U.S. Food and Drug Administration’s Office of Commissioner, Public Health Strategy and Analysis Staff in Silver Spring, Maryland. The project is embedded in FDA’s regulatory science mission and focuses on applied data science and AI in a policy and operational environment.
The fellowship is organized around four linked project areas. In research and data analysis, the participant will investigate topics such as drug competition, FDA regulatory pathways, and global health, while working with complex datasets, analytical methods, and relational databases including SQL and PostgreSQL, with potential use of cloud platforms such as Databricks. In AI adoption and integration, the fellow will help examine how AI tools can be evaluated, piloted, and scaled in a regulatory setting, contributing to frameworks for responsible AI use and working with machine learning methods and large language model approaches. In pilot and proof-of-concept applications, the participant will collaborate with FDA staff to build tools that improve internal processes and analytical workflows using R and Python in environments such as RStudio, JupyterLab, and RSConnect. In data visualization, the fellow will develop interactive dashboards and visual analytics with tools such as Plotly, Dash, and R Shiny to help FDA staff explore and communicate complex datasets.
The research environment combines mentorship from FDA subject matter experts with exposure to cross-agency collaboration, training activities, seminars, workshops, and policy meetings. The fellowship is designed to build practical experience at the intersection of data science, artificial intelligence, public health policy, and regulatory science.
Funding details
Monthly stipend of $7,600 plus a $532 per month health insurance supplement; funding renewal depends on availability of funds.
What's required
The candidate should be currently pursuing or have received a master's or doctoral degree in one of the relevant fields, with the degree anticipated by 2026-12-31. Applicants must submit an application, transcripts, a current resume/CV with academic history, employment history, relevant experiences, and publication list, and two educational or professional recommendations. All documents must be in English or include an official English translation. The opportunity is available to U.S. citizens, lawful permanent residents, and foreign nationals who meet the program's acceptable immigration status requirements. Proof of health insurance is required, and successful completion of an Office of Personnel Management background investigation is required; OPM can only complete this for individuals who have resided in the U.S. for a total of three of the past five years.
How to apply
Scroll to the bottom of the opportunity and click APPLY. Submit the application, transcripts, current resume/CV, and two recommendations; documents must be in English or include an official English translation. If you have questions, email [email protected] and include the reference code.
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ApplyKite TwinLearns as you applyMake your next move.
Prepare your application
Review drafts and confirm requirements with the university.