It's not necessarily intuitive, but successful biomedical data science is as much about people skills as it is about the latest algorithm or statistical technique. “As a data scientist, you need to be able to coordinate with all members of a research team,†said Gregory Medlock, a 2019 graduate of the University of Virginia Department of Biomedical Engineering's Ph.D. program and an expert in computational modeling and machine learning. “Being an effective collaborator helps you use your skills for greater impact.†Medlock honed his collaborative abilities during his two years as a participant in a National Institutes of Health training grant led by his doctoral thesis advisor, Jason Papin, professor of biomedical engineering. Papin's ability to enlist some of the most eminent faculty at the University as co-directors on the training grant is an indication of the importance of this initiative. They are Donald Brown, professor in the UVA Engineering School's Department of Engineering Systems and Environment and the former director of the UVA Data Science Institute; Dr. Thomas Loughran, director of the UVA Cancer Center; and Kevin Skadron, Harry Douglas Forsyth Professor and chair of UVA Engineering's Department of Computer Science.