Funders › NY › The Mark Foundation for Cancer Research (us) Ltd › 2018
Grants paid by The Mark Foundation for Cancer Research (us) Ltd, tax year 2018
EIN 36-4825921 · New York, NY · Form 990, Schedule I · NTEE G30
In tax year 2018, The Mark Foundation for Cancer Research (us) Ltd (EIN 36-4825921) reported 24 grants paid totaling $10,975,855. Dataset version 2026.09.0, built 2026-09-03.
Every grant, 2018
| Tax year | Recipient | Match | Amount | Type | Purpose | Source filing |
|---|---|---|---|---|---|---|
| 2018 | Dana Farber Cancer Institute Inc Boston, MA | A | $1,546,298 | paid | Research | 201932039349300958 |
| 2018 | New York Genome Center Inc New York, NY | A | $1,000,000 | paid | Research | 201932039349300958 |
| 2018 | University of Pennsylvania Philadelphia, PA | A | $810,649 | paid | Research | 201932039349300958 |
| 2018 | The Regents of the University of California - San La Jolla, CA | A | $735,649 | paid | Research | 201932039349300958 |
| 2018 | Fred Hutchinson Cancer Research Center Seattle, WA | A | $735,649 | paid | Research | 201932039349300958 |
| 2018 | The Regents of the University of California Los a Los Angeles, CA | A | $735,649 | paid | Research | 201932039349300958 |
| 2018 | Columbia University New York, NY | A | $735,649 | paid | Research | 201932039349300958 |
| 2018 | Ichan School of Medicine at Mount Sinai NY, NY | A | $735,649 | paid | Research | 201932039349300958 |
| 2018 | American Association for Cancer Research Philadelphia, PA | A | $466,388 | paid | Research | 201932039349300958 |
| 2018 | Oregon Health and Science University Portland, OR | A | $405,203 | paid | Research | 201932039349300958 |
| 2018 | Damon Runyon-Walter Winchell Foundation New York, NY | A | $395,793 | paid | Research | 201932039349300958 |
| 2018 | New York University Nyulmc New York, NY | A | $385,000 | paid | Research | 201932039349300958 |
| 2018 | Weill Medical College of Cornell University New York, NY | A | $379,000 | paid | Research | 201932039349300958 |
| 2018 | The Regents of the University of California Berek Berkeley, CA | A | $350,000 | paid | Research | 201932039349300958 |
| 2018 | John Hopkins University Baltimore, MD | A | $325,000 | paid | Research | 201932039349300958 |
| 2018 | Chordoma Foundation Durham, NC | A | $300,000 | paid | Research | 201932039349300958 |
| 2018 | Life Sciences Research Foundation Baltimore, MD | A | $191,269 | paid | Research | 201932039349300958 |
| 2018 | The Ohio State University Columbus, OH | A | $187,772 | paid | Research | 201932039349300958 |
| 2018 | Emory University Atlanta, GA | A | $121,000 | paid | Research | 201932039349300958 |
| 2018 | University of Utah Salt Lake City, UT | A | $109,238 | paid | Research | 201932039349300958 |
| 2018 | Memorial Sloan Kettering Cancer Center New York, NY | A | $100,000 | paid | Research | 201932039349300958 |
| 2018 | The Regents of the Univ of California Sf San Francisco, CA | A | $75,000 | paid | Research | 201932039349300958 |
| 2018 | Research Inst Nationwide Children's Hosp Columbus, OH | A | $75,000 | paid | Research | 201932039349300958 |
| 2018 | University of Maryland School of Medicine Baltimore, MD | A | $75,000 | paid | Research | 201932039349300958 |
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.