The Duke AI Health Data Science Fellowship Program was launched in 2020 to train the next generation of health data scientists. Designed for candidates with an MS degree in a quantitative field and an interest in healthcare applications, the 2-year experience is a key component of Duke University’s strategic investment in data science as a tool for solving important problems in healthcare. This novel early career program incorporates an intensive but supportive curriculum in cutting-edge data science, engaging learners in impactful healthcare analytics projects with leading experts in their respective fields. Candidates are integrated into interdisciplinary teams comprising quantitative and clinical experts, operations personnel and students, and mentored by the team quantitative lead. Teams are embedded within clinical specialties (surgery, cardiology, palliative care) to develop domain knowledge and contribute to concrete applications incorporating risk prediction, image analysis and natural language processing. I will describe educational objectives, approach to incorporating the educational mission into impactful healthcare analytic projects, and metrics used to assess success.