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

    Pilot Research Award in Liver Diseases

    Pilot Research Award in Liver Diseases supports junior and mid-career faculty testing novel liver disease research ideas to generate preliminary data for longer-term research funding.

    Browse similar grants
    Foundation Grants for Biomedical ResearchCancer Research Grants 2026

    Funder: AASLD Foundation

    Due Dates: December 7, 2026, 11:59 pm Eastern (Application) | April 1, 2027 (Earliest notification) | July 1, 2027 (Funding start) | August 31, 2028 (Final reports)

    Funding Amounts: $50,000 for one year, July 1, 2027–June 30, 2028

    Summary: Supports junior and mid-career faculty testing novel liver disease research ideas to generate preliminary data for longer-term funding.

    Key Information: Applicants must hold faculty rank at or below Associate Professor and devote at least 20% effort to the project.


    Description

    AASLD Foundation supports highly innovative, small-scale exploratory research across all aspects of liver disease. The award funds new ideas or approaches with high-impact potential but little or no preliminary data, rather than extending ongoing laboratory research. Its goal is to help investigators test ideas or methods and gather sufficient data for longer-term grant applications.

    Clinical/Translational/Outcomes Research and Basic Science Research are evaluated independently, with separate funding reserved for each category. Highly innovative, high-risk/high-reward projects receive priority. Within clinical, translational, and outcomes research, interventions addressing disparities in healthcare access or quality receive priority consideration. Operational and clinical interventions are also assessed for their potential to apply at other institutions; interventions dependent on infrastructure unique to one center receive lower priority.


    Atom

    See the full grant listing

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