The Data Scientist will derive, validate, and analyze large data sets, and develop novel predictive models using statistical techniques and machine learning, with a goal of deploying these to impact the delivery of patient care in real-time. Their focus will be a collaboration with the Department of Quality, building tools focused on improvement related to external ranking systems including USNews. The Data Scientist will frequently analyze problems without precedent and/or existing structure within UCSF Health, and address complex problems with an organization-wide scope. He or she will serve as a mentoring resource to advance understanding of data science within the health system. The Data Scientist will develop comprehensive expertise in the predictive modelling module of the Epic Electronic Health Record, and serve as a collaborator and reference for improvement activities involving predictive modelling, implemented in the Epic EHR and outside it.
Competitive applicants for this position are data scientists or quantitative analysts who have experience in delivering actionable findings from large data sources. Candidates are ideally fluent in programming languages such as R, SQL, or Python, or other tools used for data manipulation and visualization and have a background in machine learning. Prior relevant work with clinical data, and/or the Epic electronic health record, is favorable but not required.
Internal Number: 3127405
About University of California, San Francisco
The University of California, San Francisco (UCSF) is a leading university dedicated to promoting health worldwide through advanced biomedical research, graduate-level education in the life sciences and health professions, and high-quality patient care. It is the only UC campus in the 10-campus system dedicated exclusively to the health sciences.