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

总结 在数据科学和基因组学方面受过培训的个人对于充分认识到这一过多问题至关重要。 基因组学和生物医学交叉点的数据。此外，基因组学的多样性 劳动力是必要的，以支持创造力，在代表性不足的群体的条件的研究， 并确保所进行的研究具有普遍性，对所有人都有益。这里我们 提出基因组数据科学途径（PATH-GDS）研究经验计划， MS统计学和MS应用数学系的学生， 统计科学在科罗拉多丹佛大学（CU丹佛）。丹佛大学是独一无二的 定位与两个校区：市中心的校园与本科课程和关闭 靠近不同的招聘机构，安舒茨医学校园与世界 著名的生物医学和人类基因组学研究。在PATH-GDS中，我们将：（1）招募学者 来自生物医学和基因组学研究中代表性不足的不同群体;（2）培训 来自基因组学研究和职业技能不同背景的定量MS学生;以及 (3)创建、支持和保留多样化的数据科学基因组学社区。为此，我们将 在科罗拉多州建立和支持多样化的数据科学基因组学社区， 西方，以及更远的地方。

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.