Overview

The Joint Methodist-Rice Digital Health Institute (DHI) is a pioneering collaboration between Houston Methodist and Rice University, aimed at revolutionizing healthcare through the convergence of digital technology and medical expertise. With a mission to bridge the gap between research and application, the institute will spearhead transformative advancements in healthcare outcomes, research, education, and product development. Guided by a mission to leverage digital science and healthcare expertise, the DHI aims to deliver breakthroughs in predictive health, precision medicine, and transformative research, driving innovation in healthcare delivery systems.

At Houston Methodist, the Sr Research Data Scientist position is responsible for addressing the best uses of data science and informatics development for providing a competitive advantage or addressing pressing research, clinical or business problems in Houston Methodist (HM) research, operations, and care, as well as to effectively communicate informed conclusions and recommendations across an organization's leadership structure. This position will explore, collate, harmonize, and analyze data from multiple disparate sources and many angles, including the organization's needs to access and understand research, clinical, financial, operational, population health, social, behavioral, and marketing data. Under the guidance and direction of the Director, Center for Health Data Science and Analytics and the leadership of the Digital Health Institute, the Sr Research Data Scientist position will work closely with researchers, physicians, scientists, care givers, hospital staff, administrators, and other stakeholders to implement projects of research, clinical and business benefits. This position be involved in various projects including research workflow optimization, innovative tracking, predictive analytics, clinical and operations decision support, advanced analytics, outcomes measures, cost reduction, quality improvement, population health management, statistical and advanced modeling techniques to different types of health, cost, a...