Research experience pathways in genomic data science (PATH-GDS) for underrepresented groups

NIH RePORTER · NIH · R25 · $262,497 · view on reporter.nih.gov ↗

Abstract

Summary Individuals trained in both data science and genomics are essential to fully realizing the plethora of data at the intersection of genomics and biomedicine. Additionally, diversity in the genomics workforce is necessary to support creativity, the study of conditions in underrepresented groups, and ensure that research performed is generalizable and beneficial to all people. Here, we propose the Pathways in Genomic Data Science (PATH-GDS) research experience program for MS Statistics and MS Applied Mathematics students within the Department of Mathematical and Statistical Sciences at the University of Colorado Denver (CU Denver). CU Denver is uniquely positioned with two campuses: the Downtown Campus with undergraduate programs and close proximity to diverse recruiting institutions, and the Anschutz Medical Campus with world renowned biomedical and human genomics research. In PATH-GDS we will: (1) recruit scholars from diverse groups underrepresented in biomedical and genomics research; (2) train quantitative MS students from diverse backgrounds in genomics research and career skills; and (3) create, support, and retain a diverse data science genomics community. In doing so, we will build and support a diverse data science genomics community within Colorado, the Mountain West, and beyond.

Key facts

NIH application ID
10851987
Project number
5R25HG012919-02
Recipient
UNIVERSITY OF COLORADO DENVER
Principal Investigator
Joshua P French
Activity code
R25
Funding institute
NIH
Fiscal year
2024
Award amount
$262,497
Award type
5
Project period
2023-06-01 → 2028-05-31