The University of Virginia School of Data Science and Center for Public Health Genomics will collaborate to establish REGARDS (Research Experiences in Genomics Applications of Responsible Data Science). Over the next five years, REGARDS will train 45 Masters-level genomics data scientists through both classroom and research experiences. UVA’s Masters in Data Science program is ideally suited to this effort because it affords 1) a year-long capstone experience, 2) space for elective courses which allow students to acquire vital genomics content knowledge alongside their data science curriculum, and 3) an emphasis on responsible data science and research ethics that is crucial to the training of the biomedical and informatics workforce. The School of Data Science has robust supports for student recruitment and mature relationships with minority-serving institutions (MSIs) to ensure that the students trained in genomics data science represent the diversity of the patients that will be impacted by their work. As part of this initiative, the program leaders will revise data science courses (including our required course on data ethics) to include more genomics and biosciences examples. We will create three new courses: “Genomics Foundations”, “Foundations of Computational Genomics” and “Statistical Genetics - Methods and Applications”. REGARDS participants each will complete a two-semester research capstone as part of their degree. UVA School of Medicine researchers have contributed projects to engage three student teams each year for five years, representing the breadth of genomics data science: wet labs, microbiome projects, precision medicine and bioinformatics. As part of this initiative, we will leverage well-attended data science events (virtual and in person) to spread awareness about career opportunities and interesting problems in genomic data science. Through these events and annual competitions, we will broaden public interest in genomic data science, further expanding the potential workforce in genomic data science.