How to Apply
All application materials must be submitted via email at the following address: email@example.com
All applicants should submit a cover letter, a vita, three representative publications, evidence of teaching excellence if available, a research statement, a teaching statement, a diversity statement, and three letters of recommendation. Please direct inquiries about this position to the chair of our faculty search committee, Cheryl Moyer (firstname.lastname@example.org(link sends e-mail)). Consideration of applications will begin immediately. UM CAREERS - JOB ID: 202168
The University of Michigan Medical School’s Department of Learning Health Sciences seeks qualified tenure-track faculty candidates (open rank) to broaden existing scholarship within the school and the U-M community in the area of Anti-racist Data Science. Areas of research and teaching may include, but are not limited to:
- Racial bias and unintended racist consequences in data, algorithms, and technologies that enable healthcare;
- Data-driven, anti-racist, health policy analysis regarding racial disparities in health insurance, healthcare access, quality, and safety;
- Healthcare provider education and point-of-care informatics interventions to reduce healthcare providers’ implicit racial biases and enhance their structural competence; and
- Community-driven, technology-enabled models of healthcare delivery that address racism as a social determinant of health and empower racialized communities in service/intervention design.
We especially welcome scholars who have demonstrated expertise in anti-racist research methods, interdisciplinary scholarship experience, and a commitment to translating research into practice. Given that this position may be filled by faculty candidates early in rank through later in their careers, consideration will be adjusted accordingly regarding demonstrated expertise versus commitment to a line of future research. Similarly, the position will come with rank-specific resources (e.g. start-up package).
This position is part of a new faculty cluster at the University of Michigan focused on “Racial Justice in Healthcare: Informatics and Data-Driven Approaches.” This cluster hire of five faculty (one within each unit) will focus on using informatics and data science methods to detect, understand, and reduce structural racism within healthcare, and racial healthcare disparities. Faculty will he hired in the following units:
- the School of Information;
- College of Pharmacy, Department of Clinical Pharmacy;
- University of Michigan Medical School, Department of Learning Health Sciences;
- School of Nursing, Department of Health Behavior and Biological Sciences; and
- School of Public Health, Department of Health Management and Policy.
There will be additional support for cross-school collaborations within the cluster. The clusters are part of a university-wide faculty hiring initiative that seeks to hire at least 20 faculty members over the next three years with a scholarly focus on racial inequality and structural racism.
The successful candidate should have demonstrated excellence in or strong potential for peer-reviewed publication and external research funding, collaborative and interdisciplinary initiatives, and for working with students from diverse backgrounds. Candidates are expected to have completed a PhD or the equivalent in information, informatics health or biomedical informatics, computer science, information science, or a related field.
What You'll Do
Job duties include research, teaching, and service. Job responsibilities include but are not limited to:
- Conducting scholarly research resulting in publications in peer reviewed journals, book chapters, edited books, books, and conference proceedings
- Seeking outside funding to support their research
- Teaching in DLHS’s academic programs, including the Health Infrastructures and Learning Systems (HILS) MS or PhD programs
- Mentoring students for independent studies, master’s projects, and doctoral dissertations.
- Providing service to the school, University, and the broader academic community by way of committee work, journal editing, and other various opportunities
- Ph.D. or the equivalent in an area such as information, informatics health or biomedical informatics, computer science, information science, or a related field
- Demonstrated interest and/or experience with teaching at the graduate level
- A strong commitment to interdisciplinary research and cultural diversity
- A proven record in teaching and research, potentially including experiences that transcend traditional academic research