funder-graph

FundersDCMelanoma Research Alliance Foundation › 2019

Grants paid by Melanoma Research Alliance Foundation, tax year 2019

EIN 26-1636099 · Washington, DC · Form 990, Schedule I · NTEE G11

In tax year 2019, Melanoma Research Alliance Foundation (EIN 26-1636099) reported 22 grants paid totaling $7,529,862. Dataset version 2026.09.0, built 2026-09-03.

201820192020202220232024

Every grant, 2019

Grants reported by Melanoma Research Alliance Foundation for tax year 2019
Tax yearRecipientMatchAmountTypePurposeSource filing
2019Massachusetts General Hospital Boston, MAA$975,000paid1 YOUNG INVESTIGATOR AWARD, 2 ESTABLISHED INVESTIGATOR AWARDS202022389349300237
2019New York University School of Medicine New York, NYA$920,000paid2 DERMATOLOGY FELLOWS AWARDS, 1 ESTABLISHED INVESTIGATOR AWARD, 1 TEAM SCIENCE A202022389349300237
2019The Regents of the University of California Los Angeles Los Angeles, CAA$910,000paid1 DERMATOLOGY FELLOWS AWARD, 1 TEAM SCIENCE AWARD, 1 ESTABLISHED INVESTIGATOR AW202022389349300237
2019The University of Texas Md Anderson Cancer Center Houston, TXA$725,000paid1 YOUNG INVESTIGATOR AWARD, 1 TEAM SCIENCE AWARD202022389349300237
2019Memorial Sloan Kettering Cancer Center New York, NYA$670,000paid2 DERMATOLOGY FELLOWS AWARDS, 1 ESTABLISHED INVESTIGATOR AWARD, 1 YOUNG INVESTIG202022389349300237
2019St Louis University Saint Louis, MOA$375,000paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019Harvard University Cambridge, MAA$375,000paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019Trustees of Boston University Boston, MAA$375,000paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019Wayne State University Detroit, MIA$374,862paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019Weill Medical College of Cornell University New York, NYA$260,000paid1 DERMATOLOGY FELLOWS AWARD, YOUNG INVESTIGATOR AWARD202022389349300237
2019The University of Texas Southwestern Medical Center Dallas, TXA$225,000paid1 YOUNG INVESTIGATOR AWARD202022389349300237
2019The Rockefeller University New York, NYA$225,000paid1 YOUNG INVESTIGATOR AWARD202022389349300237
2019Massachusetts Institute of Technology Cambridge, MAA$225,000paid1 YOUNG INVESTIGATOR AWARD202022389349300237
2019Washinton University St Louis, MOA$225,000paid1 YOUNG INVESTIGATOR AWARD202022389349300237
2019The Trustees of Columbia University in the City of New York New York, NYU$125,000paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019The Regents of the University of California San Francisco San Francisco, CAA$125,000paid1 ESTABLISHED INVESTIGATOR AWARD202022389349300237
2019The Rector and Visitors of the University of Virginia Charlottesville, VAA$100,000paid1 PILOT AWARD202022389349300237
2019The Regents of the University of California Berkeley Berkeley, CAA$100,000paid1 PILOT AWARD202022389349300237
2019Boston Children's Hospital Boston, MAA$100,000paid1 PILOT AWARD202022389349300237
2019Icahn School of Medicine at Mount Sinai New York, NYA$50,000paid1 PILOT AWARD202022389349300237
2019Yale University New Haven, CTA$35,000paid1 DERMATOLOGY FELLOWS AWARD202022389349300237
2019Mayo Clinic Rochester, MNA$35,000paid1 DERMATOLOGY FELLOWS AWARD202022389349300237

Match tier: A Reported EIN · B Exact name and place · C Strong name match · D Probable name match · U Unresolved. Tiers C and D are inferred, not reported; see how matching works.

Recipient matching for this dataset version has not yet completed its independent precision check. Tier A rows carry the EIN the filer reported; tiers B–D are the matcher's inference and should be read as leads until the check is published on the methodology page.

Derived from IRS Form 990 e-file XML. Dataset version 2026.09.0, built 2026-09-03. All years for this funder.

The same organization elsewhere in the program: exempt status and filing health · federal awards · grant guidance · open opportunities.

This is informational only, derived from public data on the dates shown. It is not an eligibility determination, and not legal, tax, or accounting advice. Verify against the official source before relying on it.