Atom Grants
Discover
  • Dashboard
  • Search
  • Deep Research
  • Favorites
  • Projects

    Medical Student Research Grant

    Medical Student Research Grant supports medical students in supervised imaging research to develop research skills, gain experience testing hypotheses and explore future careers in academic radiology.

    Browse similar grants
    Cancer Research Grants 2026AI in Healthcare Research Grants
    OverviewSimilar Grants
    OverviewSimilar Grants

    Funder: Radiological Society of North America

    Due Dates: February 5, 2027, 11:59 p.m. CT (Application)

    Funding Amounts: $3,000 for a one-year project, plus a required $3,000 departmental match ($6,000 total stipend)

    Summary: Supports supervised medical imaging research that helps medical students develop research skills and explore academic radiology careers.

    Key Information: Applicants must be full-time students at accredited North American medical schools and commit 8–10 weeks full time.


    Description

    The RSNA Research & Education Foundation supports medical students in gaining research experience before choosing residency programs. Students define objectives, develop research skills and test hypotheses under a scientific advisor, with the goal of considering academic radiology as a future career. Projects take place in radiology, radiation oncology or nuclear medicine departments at North American educational institutions.

    The program welcomes any area of research related to radiologic sciences, including basic science, clinical investigations, drug and device development, comparative effectiveness, ethics, quality improvement, clinical efficiency and imaging informatics. Proposals addressing the Foundation’s priority focus areas are encouraged, but innovative work outside those areas receives full consideration. Up to 10 additional grants support students who identify as underrepresented in medicine.


    Atom

    See the full grant listing

    Sign in to view full eligibility details, sources, similar grants, and AI-powered analysis.