FDA Artificial Intelligence and Machine Learning Fellowship

United States Department of Health and Human Services - Silver Spring, MD

Full-time - Intern

Silver Spring, MD

Administration of Human Resource Programs

About the position

The FDA Artificial Intelligence and Machine Learning Fellowship offers a research opportunity within the Center for Devices and Radiological Health (CDRH) at the FDA. This fellowship focuses on evaluating AI applications in medical devices, allowing fellows to engage in high-impact research and develop regulatory science tools. The position is full-time and hybrid, providing a unique chance to work alongside prominent scientists in the field.

Responsibilities

• Participate in research evaluating artificial intelligence applications in medical devices.
• Develop regulatory science tools for assessing new medical devices.
• Conduct high-impact research and present findings to the scientific community.
• Learn large scale software development for machine learning methods.
• Develop test methods for assessing AI/ML model performance using large-scale data sets.

Requirements

• U.S. citizenship, Lawful Permanent Resident (LPR), or valid immigration status for foreign nationals.
• Background in software development, particularly in Python and scientific libraries (NumPy, SciPy, Scikit-learn).
• Experience or knowledge in traditional and deep-learning-based ML methods (CNN, GAN).
• Ability to conduct research and document processes and outcomes.

Nice-to-haves

• Familiarity with image quality evaluation and synthetic imaging data.
• Understanding of AI-enabled devices for image segmentation and classification.
• Knowledge of bias, reproducibility, robustness, and generalizability of AI techniques.

Benefits

• Monthly stipend commensurate with educational level and experience.
• Opportunity to gain skills in scientific writing and documentation.
• Flexible start date based on various factors.