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

    Damon Runyon Quantitative Biology Fellowship Award

    Damon Runyon Quantitative Biology Fellowship Award supports computational scientists in mentored research combining quantitative analysis and cancer biology to prepare for independent cancer research careers.

    Browse similar grants
    Cancer Research Grants 2026Foundation Grants for Biomedical Research

    Funder: Damon Runyon Cancer Research Foundation

    Due Dates: December 1, 2026, at 4:00 p.m. Eastern Time (Application) | February 26, 2027 (Selection meeting) | April 1, May 1, or June 1, 2027 (Award start)

    Funding Amounts: $240,000 over three years: annual stipends of $76,000, $78,000, and $80,000, plus $2,000 annually for expenses; additional benefits available

    Summary: Supports computational scientists pursuing interdisciplinary, mentored research that combines quantitative analysis and modeling with cancer biology.

    Key Information: Two mentors are required: one in computational science (dry lab) and one in cancer biology (wet lab).


    Description

    The Damon Runyon Cancer Research Foundation’s Quantitative Biology Fellowship supports scientists trained in mathematics, computer science, physics, engineering, and related fields as they pursue computational biology careers. The three-year program funds theoretical and experimental research addressing cancer causes, mechanisms, therapies, and prevention, including molecular approaches to preventing inherited cancers.

    Fellows train with a computational-science mentor and a cancer-biology mentor to prepare for independent cancer research careers. Projects should innovatively combine quantitative analyses and modeling to answer biological questions. Entirely new computational tools are not required, but preference goes to projects creating new technology or introducing novelty to existing technology. The Foundation also prioritizes research importance and originality, applicant potential, and mentors’ ability to provide robust interdisciplinary training.


    Atom

    See the full grant listing

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