Health Sciences Strategy is a dynamic work environment in which team members contribute to an array of projects aimed at achieving core health sciences missions. The data engineering intern supports pieces of our work that involve clinical analytics (e.g., patient segmentation, episode prediction, and health outcome analytics), financial analytics (e.g., pro forma financial statements and comparative cost-benefit analyses), business analytics (e.g., market assessments and comparative service line evaluations), and the effective blending thereof to inform, craft, and monitor health system strategy. Day-to-day tasks include assisting analysts and engagement managers in gathering data necessary for their projects in a timely and efficient manner, and assisting the lead data engineer in improving data quality and optimizing data pipelines. Candidates should be familiar with R/Python, SQL, and GIT. Candidates should be able to advance multiple projects concurrently and adhere to deadlines. Good communication skills, including the ability to explain methods and share findings, are also important. The intern reports to the Associate Director of Data & Analytics.