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

    ASH Research Training Award for Fellows

    ASH Research Training Award for Fellows supports junior researchers with protected time for basic, translational, clinical, and outcomes-based research to build careers in academic hematology.

    Browse similar grants
    Cancer Research Grants 2026
    OverviewSimilar Grants
    OverviewSimilar Grants

    Funder: American Society of Hematology

    Due Dates: January 18, 2027 (Application) | March 15, 2027 (Second-year support) | April 2027 (Interviews) | May 2027 (Notification) | July 1, 2027 (Award start)

    Funding Amounts: $70,000 for one year, plus a $1,000 subsequent-year annual meeting honorarium; limited second-year support available

    Summary: Protected research time for early-career hematology researchers preparing for careers in academic hematology.

    Key Information: Institutional commitment to 50–75% research effort is required; assistant professors and NIH employees are ineligible.


    Description

    The American Society of Hematology (ASH) Research Training Award for Fellows supports junior researchers in hematology, hematology/oncology, and related training programs who intend to pursue academic hematology careers. It provides protected research time to help fellows develop expertise and become competitive for subsequent funding, including the ASH Scholar Award.

    The program supports basic, translational, patient-oriented clinical, and outcomes-based hematology research. Eligible work can include laboratory and computational studies, human biology-based interventions, clinical trials, health services research, and epidemiologic studies of blood disorders. Clinical research must involve substantial interaction with patients and/or patient medical records. Projects must focus on a hematologic condition; solid-tumor projects are excluded.


    Atom

    See the full grant listing

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