Anti-Racist Health Informatics/Data Science Faculty Position
The University of Michigan School of Information 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 Health Informatics and/or 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 health care;
- 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.
This position is part of a new faculty cluster focused on “Racial Justice in Healthcare: Informatics and Data-Driven Approaches.” This cluster hire of five faculty (one within each of five units) 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: (1) the School of Information; (2) College of Pharmacy, Department of Clinical Pharmacy; (3) University of Michigan Medical School, Department of Learning Health Sciences; (4) School of Nursing, Department of Health Behavior and Biological Sciences; and (5) School of Public Health, Department of Health Management and Policy. There will be additional support for cross-school collaborations within the cluster, and the School of Information is also involved in a second cluster hire focused on Anti-Racist Data Justice. Both clusters are part of a university-wide faculty hiring initiative in anti-racism. Over the next three years, the university will hire at least 20 faculty members with scholarly expertise in racial inequality and structural racism.
The successful candidate should demonstrate potential for or experience with publication and research funding, for collaborative and interdisciplinary initiatives, and for working with students from diverse backgrounds. Candidates are expected to have a completed Ph.D. in information science, health or biomedical informatics, computer science, or a related field.
Job Expectations and Responsibilities:
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 research
- Teaching in UMSI’s five academic programs, including the collaborative Masters of Health Informatics (MHI)
- Mentoring students for independent studies, master’s projects and theses, 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
- Each member of the UMSI faculty is expected to have teaching effort equivalent to three semester-long courses per year.
About UMSI and UM
The mission of the School of Information is to create and share knowledge to help people use information -- with technology -- to build a better world. A successful candidate will be committed to, and will directly contribute to, our goal of being the best research and teaching institution for the understanding and design of information and its technologies in service of people and society.
The School is home to vibrant research and teaching programs, with 60 FTE professors, and over 1,400 students. We offer five degrees: a Ph.D., a Master of Science in Information, a Master of Health Informatics, a Bachelor of Science in Information, and an online Master of Applied Data Science.
Founded in 1817, the University of Michigan has a long and distinguished history as one of the first public universities in the nation. It is one of only two public institutions consistently ranked among the nation's top ten universities. The University has one of the largest health care complexes in the world and one of the best library systems in the United States. With more than $1.53 billion in research expenditures annually, the University has the second largest research expenditure among all universities in the nation. The University has an annual general fund budget of more than $2.3 billion and an endowment valued at more than $12.5 billion. For more information about UMSI, please visit: www.si.umich.edu.
- Ph.D. in an area such as information science, health or biomedical informatics, computer science, or a related field
- A strong interest in teaching at the undergraduate and graduate levels
- A strong commitment to interdisciplinary research and cultural diversity
A proven record in teaching and research
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 for Assistant Professor candidates three letters of recommendation. All application materials must be submitted electronically to: http://apply.interfolio.com/87160
Please direct inquiries about this position to the chair of our faculty search committee, Tiffany Veinot (umsi.Anti-Racist.Health.Informatics@umich.edu). Consideration of applications will begin immediately. Applications submitted by October 15th will receive full consideration.
The University of Michigan conducts background checks on all job candidates upon acceptance of a contingent offer and may use a third party administrator to conduct background checks. Background checks will be performed in compliance with the Fair Credit Reporting Act.
Equal Employment Opportunity Statement
The University of Michigan is an equal opportunity/affirmative action employer.