This nine-month tenure track position is in the Department of Public Health Sciences. The successful candidate will teach in the Professional Science Master's program (PSM) in Health Informatics and Analytics (http://hi.uncc.edu/) and in the Department of Public Health Sciences, further Health Informatics and Analytics through participation in the Data Science Initiative (http://dsi.uncc.edu/) that brings academia and industry together to turn data into knowledge, and knowledge into insight, conduct an active program of research in health informatics and analytics, mentor graduate students, and contribute professional service to the institution, community, and discipline.
Minimum Experience / Education:
UNC Charlotte gives primary consideration to the earned doctorate or terminal degree in the teaching discipline or a related discipline.
Preferred Education Skills and Experience:
The candidate must have a doctoral degree in health informatics; health services research; business, computer or information science; public health; epidemiology; biostatistics; health administration; or a related field by August 2018.
The successful candidate will present evidence of promise for contributing to research in health informatics and analytics, obtaining external research funding, and teaching. The extent to which the candidate can contribute the vision and mission of the department (http://publichealth.uncc.edu/about/vision-and-mission) will be considered. We are particularly interested in candidates whose research focuses on population health informatics, business intelligence, or advanced healthcare data analysis that draw upon innovative and emerging tools such as machine learning and deep learning.
UNC Charlotte is North Carolina's urban research institution. Our campus is located in the piedmont of North Carolina, just two hours from the mountains and three hours from the Atlantic Ocean. A large public university with a small college feel, more than 27,200 students consider UNC Charlotte’s 1,000-acre campus their home away from home.