The Department of Learning Health Sciences (DLHS) at the University of Michigan Medical School in Ann Arbor, Michigan, seeks a full-time, tenure-track faculty member at the Assistant Professor level. The candidate's background may be based in a wide range of content areas including health infrastructures, dissemination and implementation science, knowledge translation, and/or quality improvement sciences such as (but not restricted to): public health, psychology, sociology, economics, anthropology, education, social sciences, systems science, operations research, nursing, social work, or clinical sciences to meet the ongoing need for designing and evaluating multilevel strategies to improve performance and/or uptake of effective innovations across Michigan Medicine and beyond.
We seek candidates in the field of implementation science, knowledge translation, or improvement science (quality improvement) who will focus their research on health care quality, safety, cost, outcomes, equity, and patient and provider experience. Successful candidates will apply dissemination and implementation frameworks combined with insights from multilevel stakeholders at the consumer, frontline provider, clinical manager, health system, community, and policy levels. In addition, successful candidates will conduct novel studies that develop, refine, and test different strategies to improve health care performance and/or improve the uptake and sustainment of effective innovations designed to impact health and health care across different settings (e.g., hospital networks, medical clinics, schools, community-based organizations). Especially desired are candidates with experience in development and/or application of implementation science methods including but not limited to the following areas:
- Quantitative and qualitative assessment of patient experience, provider behavior, organization/system change, and/or policy analysis through extensive use of large-scale computation, computational methods, or algorithms.
- Adaptation of effective innovations based on multi-stakeholder (e.g., patient, provider, organization, community, and policymaker) input
- Design of novel implementation strategies that employ multiple levels of provider behavior and organizational change using different modalities (e.g., learning innovations, participatory systems dynamics, human factors design, economic and policy incentives, community and stakeholder engagement)
- Development and application of multisite pragmatic trials using implementation science study designs, especially identifying outcomes, contextual factors, and mechanisms from electronic health record, social media, and other digital health sources
- Systems science, economic evaluation, or business case analyses of implementation strategies and processes