FDA Data Science Fellowship - Bioinformatics and AI​/Machine Learning

U.S. Food and Drug Administration (FDA)

FDA-CBER-

1/4/2027 3:00:00 PM Eastern Time Zone

All documents must be in English or include an official English translation.

If you have questions, send an email to ORISE.FDA.CBER. Please include the reference code for this opportunity in your email.

Applications will be reviewed on a rolling-basis.

A research opportunity is currently available in the Office of Biostatistics and Pharmacovigilance (OBPV) at the Center for Biologics Evaluation and Research (CBER), Food and Drug Administration (FDA) in Silver Spring, Maryland.

The Center for Biologics Evaluation and Research (CBER) is one Center within the Food and Drug Administration, an Agency within the United States Government's Department of Health and Human Services. CBER's mission is to protect and enhance the public health through the regulation of biological and related products including blood, vaccines, allergenics, tissues, and cellular and gene therapies.

You will contribute to the development of novel scientific, structural biology, bioinformatics, and AI/machine learning algorithms, as well as the adaptation and optimization of existing tools. This research aligns with CBER’s efforts to enhance the development, operations, and management of FDA’s High-performance Integrated Virtual Environment (HIVE) infrastructure and scientific computing environment.

The opportunity involves building and improving applications that compute, analyze, and interpret biological and scientific data, including large-scale omics datasets, within high-performance computing (HPC) environments.

• Develop and implement novel scientific, structural biology, bioinformatics, and AI/ML algorithms
• Optimize and adapt existing analytical tools for performance and scalability
• Suggest and implement new software solutions and computational tools
• Maintain, support, and test applications for bugs, redundancies, and security issues
• Standardize and automate application-level processes
• Maintain and improve components of the bioinformatics, structural biology, and AI-focused HPC environment
• Gain experience working with large-scale biological datasets, including genomics, transcriptomics (bulk and single cell), and proteomics data

The mentor for this opportunity is Luis Santana-Quintero (luis.santana-quintero.gov). If you have questions about the nature of the research, please contact the mentor.

2026. Start date is flexible and will depend on a variety of factors.

The appointment will initially be for one year, but may be renewed upon recommendation of FDA and is contingent on the availability of funds.

The appointment is full time.

The participant will receive a monthly stipend commensurate with educational level and experience.

This opportunity is available to U.S. citizens, Lawful Permanent Residents (LPR), and foreign nationals. Non-U.S. citizen applicants should refer to the Guidelines for Non-U.S. Citizens Details page of the program website for information about the valid immigration statuses that are acceptable for program participation.

This program, administered by ORAU through its contract with the U.S. Department of Energy to manage the Oak Ridge Institute for Science and Education, was established through an interagency agreement between DOE and FDA. The participant will receive a monthly stipend commensurate with educational level and experience. Proof of health insurance is required for participation in this program. Participants do not…