FDA Artificial Intelligence and Machine Learning Fellowship

Oak Ridge Institute for Science and Education; White Oak (MD); On-site; USD 334,800 - 558,000; Full time

Benefits offered by this job

Monthly stipend

Job summary

Oak Ridge Institute for Science and Education is offering up to 14 research fellowships at the FDA's CDRH located in White Oak, Maryland. The program aims to provide students and recent graduates with a unique opportunity to contribute to regulatory science research, particularly involving AI/ML-enabled medical devices. Ideal candidates should have a relevant Master's or Doctoral degree acquired recently. A full-time commitment is required, and the fellowship is anticipated to start in Spring 2026.

Qualifications

• Degree received within the last 60 months or anticipated by 5/31/2026.
• Open to multiple disciplines including Computer Science and Data Science.

Responsibilities

• Participate in project-specific research and development at CDRH.
• Conduct regulatory science research focused on AI/ML-enabled devices.

Skills

Artificial Intelligence

Machine Learning

Data Science

Robotics

Education

Master’s or Doctoral degree in relevant field

Job description

Organization

U.S. Food and Drug Administration (FDA), Center for Devices and Radiological Health (CDRH) located in White Oak, Maryland.

Reference Code

FDA-CDRH-2026-0011

Application Deadline

9/30/2026 3:00:00 PM Eastern Time Zone

Job Overview

Up to 14 research fellowships are available with the FDA, CDRH, in a program designed to provide students and recent graduates with opportunities to participate in project-specific research and development at the CDRH. The mission of CDRH is to protect and promote public health by ensuring safe, effective, and high-quality medical devices and safe radiation‑emitting products.

Research Project

Artificial Intelligence Regulatory Science Program – conducting regulatory science research to ensure safe and effective AI/ML‑enabled medical devices across rapidly expanding healthcare applications.

Learning Objectives

• Gain comprehensive understanding of regulatory science approaches for AI/ML‑enabled medical devices, including performance assessment methodologies and uncertainty quantification methods.
• Acquire specialized skills in addressing critical data challenges in medical AI, including methods for training algorithms with limited datasets, synthetic data evaluation, and approaches to minimize algorithmic bias.
• Develop expertise in evaluating AI devices that can adapt and learn post‑deployment, including understanding evolving algorithms and creating methodologies to assess performance changes over time.

Mentor(s)

Ravi Samala ([e-mail]), Aldo Badano ([e-mail]).

Appointment Details

• Start Date: Flexibility; anticipated Spring 2026
• Length: Initially one year; may be renewed upon recommendation of FDA and contingent on availability of funds.
• Participation Level: Full time.
• Stipend: Monthly stipend commensurate with educational level and experience.

Citizenship Requirements

Open to U.S. citizens, lawful permanent residents, and foreign nationals who meet the program’s immigration status requirements.

Eligibility / Education Requirements

• Degree: Master’s or Doctoral degree received within the last 60 months or anticipated by 5/31/2026.
• Discipline(s) (examples):

• Computer, Information, and Data Sciences (incl. Artificial Intelligence, Robotics, Computer Vision, Human Language Processing, Machine Learning)
• Computer Architecture and Grids
• Computer Science – Languages and Systems
• Computer Science – Theoretical Foundations
• Computer Science (general)
• Computer Systems Analysis
• Computer Systems Design (incl. Signal Processing)
• Data Science
• Databases, Information Retrieval, and Web Search
• Graphics and Visualization
• Human‑Computer Interaction
• Information Science and Technology
• Information Security and Assurance
• Networks and Communications
• Operating Systems and Middleware
• Scientific Computing and Informatics
• Software Engineering
• Mathematics and Statistics
• Physics
• Life Health and Medical Sciences
• Engineering (other specialties)

Affirmation

I have lived in the United States for at least 36 out of the past 60 months (non‑consecutive). I have read the FDA Ethics Requirements.