# Integrated Program in Cancer and Data Science

> **NIH NIH T32** · H. LEE MOFFITT CANCER CTR & RES INST · 2023 · $211,392

## Abstract

PROJECT SUMMARY
The Integrated Program in Cancer and Data Science (hereafter the Program), administered by the NCI-
designated Moffitt Comprehensive Cancer Center (Moffitt) trains the next generation of leaders in
Cancer and Data Science. This training program is overseen by an executive committee comprised of
the three PIs, who together have decades of training experience in translational, basic and data science.
Over thirty faculty members, who work together at the interface of cancer research and data science,
serve as mentors and co-mentors. The Program is cross-disciplinary, spanning every Division at Moffitt
including: 1) basic science; 2) population science; 3) clinical science; 4) translational science; and 5)
data science. Postdoctoral trainees in the Program are paired into training teams that design a
mentored research project that addresses a critical issue in cancer utilizing data science approaches. In
addition to research, the Program includes structured coursework, taken as appropriate, and is
supplemented by participation in many career development activities relevant to postdoctoral trainees.
The Program is regularly and rigorously evaluated internally and externally in a process that measures
progress of the trainees and the effectiveness of the Program.

## Key facts

- **NIH application ID:** 10691491
- **Project number:** 5T32CA233399-05
- **Recipient organization:** H. LEE MOFFITT CANCER CTR & RES INST
- **Principal Investigator:** William Douglas Cress
- **Activity code:** T32 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $211,392
- **Award type:** 5
- **Project period:** 2019-09-16 → 2026-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10691491

## Citation

> US National Institutes of Health, RePORTER application 10691491, Integrated Program in Cancer and Data Science (5T32CA233399-05). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/10691491. Licensed CC0.

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