Assistant Professor/Associate Professor, Health Management and Policy
How to Apply
Candidates should submit an application both here via the UM recruiting system as well as the HMP Application system containing:
- A cover letter that (a) clarifies the area(s) of resaerch in which the candidate is interested; (b) discusses briefly the candidate's interest in, experience of, and approach to teaching; (c) presents future research direction and funding plans
- Curriculum vitae
- Names and contact information for three recommenders (optional)
- Up to two examples of scholarship
Application review will begin 1 November, 2018 and continue until the position is filled.
Candidates with further questions are encouraged to contact the search committee chair David Mendez (firstname.lastname@example.org).
The Department of Health Management and Policy (HMP) in the School of Public Health at the University of Michigan is hiring a tenure track faculty member at the rank of Assistant or Associate Professor in the field of Health Informatics. We seek an individual with strong scholarly credentials and a record or promise of external research funding.
We welcome candidates whose research interests complement the University’s existing health informatics expertise in a broad array of areas including, but not limited to:
- Clinical Informatics
- Healthcare Informatics
- Public Health Informatics
- Human-Computer Interaction in the health domain
- Consumer Health Informatics
- Data Science in healthcare
- Information Technology in health services research
For many years, HMP has set the standard for excellence in graduate health management and policy education. Our faculty members serve as expert resources to the broader healthcare industry and health services communities. They also are drivers of change who have served as architects of some of the country’s most significant federal programs and health policies, evaluators of change for health care initiatives both large and small, and pioneers in sustainable health financing methods.
Minimum requirements include an earned doctorate by September 1, 2019 in a relevant field along with recognition or promise of outstanding contributions as a scholar.
We seek an individual who will contribute to the HMP tradition of high-impact scholarship, education, and public health leadership. This individual will also be expected to actively contribute to our professional master’s degree program in health informatics offered jointly by the School of Public Health and the School of Information (http://healthinformatics.umich.edu). This innovative master’s program combines the strengths of the School of Information with those of the School of Public Health, and adopts a broad approach that incorporates clinical, consumer, and population and public health informatics. This program is complemented by a certificate option for working professionals and for students enrolled in other programs at the University of Michigan. A joint courtesy appointment with the School of Information is a possibility.
Successful candidates should have an earned doctoral degree by September 1, 2019. Disciplinary background is open, but relevant fields might include health informatics, information, engineering, business, and medicine. The University is developing a major focus on Data Science and therefore HMP would be interested in candidates with expertise in this emerging area.
HMP values diversity as a necessary part of success in any aspect of health teaching, research, and leadership and encourages candidates to share their personal experiences of diversity with the committee.
The University of Michigan is an equal opportunity/ affirmative action employer. Women, minorities, individuals with disabilities, and veterans are encouraged to apply. The University of Michigan is responsive to the needs of dual career couples.
This position is posted as Assistant Professor/Associate Professor. The rank of the selected candidate will depend upon candidate's qualifications.
U-M EEO/AA Statement
The University of Michigan is an equal opportunity/affirmative action employer.