T32 Predoctoral Program

T32 Medical Student Healthcare Artificial Intelligence and Technological Innovations Training Program

The first federally funded training program at NYU Grossman School of Medicine dedicated to a research year for medical students focused on research in healthcare AI, clinical informatics, and technological innovation.

Note: Pending official NIH funding notification (anticipated summer 2026). The program is moving forward with recruitment and planning with institutional support from the NYU CTSI.

About the Program

This National Research Service Award (NRSA) Institutional Research Training Grant supports a dedicated research year for pre-doctoral, post-clerkship medical students at NYU Grossman School of Medicine and NYU Grossman Long Island School of Medicine. It is the first institutional training program at NYU focused on Healthcare AI and technological innovation, and the first T32 specifically designed to fund medical student research.

The program is embedded within NYU’s new 3-year medical curriculum, allowing students to complete both their medical degree and a full research year within 4 years. Trainees work alongside world-class faculty spanning medicine, engineering, data science, and clinical informatics, with access to NYU Langone’s unparalleled AI infrastructure.

The overarching goal is to train a new generation of physician-scientists who are not only experts in their clinical specialty, but pioneers in translational AI research, equipped to drive innovation, improve patient outcomes, and lead the next generation of biomedical discovery.

What the Program Provides

Funding & Support

• Full stipend support for a NYUGSoM Plus One Research Program year
• Travel support for scientific meetings
• Continued student status
• Protected research time

Research and Technical Training

• Year-long mentored research project
• Weekly Works-in-Progress seminars
• Annual Training Program Research Showcase
• Clinical Informatics and AI Elective
• Technical Bootcamp (Python, HPC, bash)
• Access to additional electives in machine learning, AI, clinical informatics and data science
• Grant Writing Workshop
• Responsible Conduct of Research
• Career development including Individual Development Plans

Eligibility

Applicants must be enrolled, stage 2 medical students at NYU Grossman School of Medicine or NYU Grossman Long Island School of Medicine who are pursuing a research year in addition to their medical degree. Applicants must be U.S. citizens or permanent residents. Prior research experience in AI, data science, or computational biology is not required, though demonstrated interest in these areas is expected. All applicants will be evaluated on academic record, research potential, and alignment with program goals

Faculty Mentors

The program draws on 43 core faculty mentors representing 15 departments and interdisciplinary programs across NYU Grossman School of Medicine, NYU Tandon School of Engineering, the Courant Institute of Mathematical Sciences, and the Center for Data Science. Faculty cover a wide range of clinical specialties and technical disciplines including emergency medicine, radiology, cardiology, nephrology, rheumatology, pathology, psychiatry, and ophthalmology. Each trainee is paired with a primary research mentor and, in most cases, a secondary mentor with complementary expertise.

Program Leadership

How to Apply

Applications are reviewed on a rolling basis with a deadline of April 17, 2026. Applicants should submit the following materials via the program application portal:

• Personal statement (research interests, career goals, and motivation for the program)
• CV or résumé
• Two letters of recommendation (at least one from a research mentor or faculty)
• Medical school transcript
• Description of proposed research area or mentor of interest (if applicable)