FDA Digital Pathology Image Analysis Fellowship

How to Apply

Complete application components:

• An application
• Transcripts – detailed information about acceptable transcripts
• A current resume/CV, including academic history, employment history, relevant experiences, and publication list
• One educational or professional recommendation

All documents must be in English or include an official English translation. If you have questions, email ORISE.FDA.CDRH with the reference code FDA-CDRH-.

Final date to receive applications: 9/30/2026 3:00:00 PM Eastern Time Zone.

U.S. Food and Drug Administration (FDA), Center for Devices and Radiological Health, Division of Imaging, Diagnostics, and Software Reliability, located in Silver Spring, Maryland.

Applications will be reviewed on a rolling basis.

Selected participants will join research projects focused on the development of methods and tools to evaluate computational pathology (CPATH) devices. Fellows will learn about assessing artificial intelligence models applied to whole slide images, including the CPATH imaging AI pipeline and cutting‑edge technologies such as vision and language foundation models for segmentation, classification, quantification, and conversational AI tasks.

• Develop comprehensive expertise in evaluating AI algorithms applied to whole slide images, including performance metrics and validation framework.
• Gain proficiency in imaging AI pipeline development and optimization.
• Acquire hands‑on experience designing, implementing, and optimizing computational pathology workflows from image acquisition through analysis output, including preprocessing techniques.
• Learn about cutting‑edge vision and language foundation models for pathology applications.

Aldo Badano (aldo.badano.gov) and Weijie Chen (weijie.chen.gov).

Spring 2026 (start date flexible).

Initially one year, may be renewed upon FDA recommendation and contingent on availability of funds.

Full time.

Monthly stipend commensurate with educational level and experience.

Open to U.S. citizens, lawful permanent residents, and foreign nationals meeting FDA immigration eligibility guidelines.

Candidate should have received a master’s or doctoral degree in a relevant field (e.g., Biomedical Engineering, Computer Science) within the past five years, with preferred research experience in AI and digital pathology whole slide image analysis.

• Python programming
• Pathology whole slide image analysis
• Machine learning, especially generative adversarial networks
• Oral presentations and writing research papers

Ashley

• Master’s or doctoral degree received within the last 60 months.
• Disciplines in:
  Computer science, data science, bioinformatics, quantitative biology, or related fields; life health and medical sciences; mathematics and statistics; physics.
• U.S. citizen or residency in the U.S. for at least 36 months in the last 60 months.
• Read and comply with FDA ethics requirements.