Fellowship

Damon Runyon Quantitative Biology Fellowship Award

Damon Runyon Cancer Research Foundation
Award USD 78K–82K ≈ €71.8K–€75.4K
Closing date Closed
Location Global
For Individuals

About this opportunity

The Damon Runyon Quantitative Biology Fellowship identifies computational scientists who innovatively combine quantitative analyses and modeling to solve biological questions, particularly in cancer research. This award program supports computational scientists deeply connected to biology labs under joint mentorship of leaders in both computational science ('dry lab') and cancer biology ('wet lab'). The fellowship is designed to help computational scientists trained in fields such as mathematics, computer science, physics, or engineering to pursue research careers in computational biology while bringing their skills to bear on important biological questions in cancer. The program provides three years of funding to support postdoctoral training with the goal of developing productive, independent cancer research scientists who bridge quantitative and biological sciences.
36 - 37 mo
research computational biology cancer research quantitative analysis data science algorithms mathematical modeling bioinformatics cancer biology computational science oncology

Who can apply

Applicant Types

individual

Organization Types

academic, hospital, for profit

Project Locations

🇺🇸 United States

Region

United States

Years from Degree

Up to 6 years

How to apply

Institutional approval

Stages

  1. 1 single_stage

Required documents

cv · research_proposal · letters_of_recommendation · transcripts

Review process

Applications are reviewed by the Quantitative Biology Fellowship Award Committee, comprised of leaders in the field, who evaluate applicants based on quality, commitment, mentorship team capacity, research proposal quality, and computational innovation.

Additional benefits

  • mentorship
  • travel_support
  • health_insurance

Restrictions

  • no_concurrent_funding
  • publication_restrictions
  • employment_restrictions
  • reporting_requirements

Post-award obligations

  • final_report
  • acknowledge_funder
  • present_findings

External listing — not managed by a verified Grantory funder

External Application

This opportunity requires you to apply directly on the funder's website.

Apply on External Site

AI-Extracted Data

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