FDA Digital Pathology Image Analysis Fellowship

Oak Ridge Institute for Science and Education; Silver Spring (MD); On-site; USD 33,480 - 55,800; Full time

Job summary

The Oak Ridge Institute for Science and Education is offering a research fellowship at the FDA focusing on computational pathology. Located in Silver Spring, Maryland, this full-time position invites individuals with a master's or doctoral degree in relevant fields, especially those with experience in AI and pathology image analysis. Participants will engage in hands-on projects, gaining skills in evaluating AI algorithms and optimizing imaging workflows. Monthly stipends are provided based on educational level and experience.

Qualifications

• Master's or doctoral degree in Biomedical Engineering, Computer Science, or related field received within the last 5 years.
• Preferred research experience in AI and digital pathology whole slide image analysis.

Responsibilities

• Join research projects focused on evaluating computational pathology devices.
• Learn to assess AI models applied to whole slide images.
• Develop expertise in performance metrics and validation frameworks.

Skills

Python programming

Pathology whole slide image analysis

Machine learning

Oral presentations

Writing research papers

Education

Master’s or doctoral degree in a relevant field

Job description

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 [e-mail] with the reference code FDA-CDRH-2026-0003.

Application deadline: 9/30/2026 3:00:00 PM Eastern Time Zone.

Organization

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.

Description

Applications will be reviewed on a rolling basis.

Research Project

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.

Learning Objectives

• 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.

Mentor

Aldo Badano ([e-mail]) and Weijie Chen ([e-mail]).

Appointment Start Date

Spring 2026 (start date flexible).

Appointment Length

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

Level of Participation

Full time.

Participant Stipend

Monthly stipend commensurate with educational level and experience.

Citizenship Requirements

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

Qualifications

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.

Additional Preferred Skills

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

Point of Contact

Ashley

Eligibility Requirements

• 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.