Assistant/Associate/Full Professor Tenure System Grand Rapids, Michigan, United States Translational Neuroscience 40000320 Area of Interest: Research/Scientific Full Time/Part Time: Full Time (90-100%) Group: Tenure System Faculty Remote Work: Remote-Friendly Union/Non-Union: Non-Union Faculty/Academic Staff Opening on: Mar 16 2026 Closing at: Mar 16 2028 - 23:55 EDT Salary Commensurate with Experience College Of
Human Medicine 1116162 Working/Functional Title Assistant/Associate/Full Professor Tenure System Position Summary The Department of Translational Neuroscience at Michigan State University’s College of Human Medicine in Grand Rapids is seeking a tenure-track/tenured faculty member at the Assistant, Associate, or Professor level to join our mission of combating neurodegenerative diseases. We seek a researcher and
educator passionate about investigating the underlying mechanisms of Alzheimer’s and Parkinson’s diseases with a specific interest in variance among different populations and how such differences influence disease progression and incidence. Our programmatic goal is to unravel the complex interplay between contextual and biological factors to ensure that research remains applicable to all populations and that
biological and behavioral phenotypes are integrated into individual- and community-centered health solutions. As a high-impact catalyst for bidirectional research, TransNeuro offers a dynamic ecosystem that spans the continuum from cellular mechanisms to population health. While our broader portfolio investigates the fundamental causes and novel therapeutics for a wide range of neurodegenerative disorders, a
cornerstone of our identity is a commitment to generating knowledge that can guide effective health solutions for individuals and communities. Beyond a robust portfolio of funded research programs, our faculty lead projects within large NIH-funded centers, including the Michigan Alzheimer’s Disease Research Center and the Michigan Center for Contextual Factors in Alzheimer’s Disease, which are specifically designed
to identify differences and reduce or eliminate disparities in dementia. By integrating cutting-edge bench science with robust community infrastructure, such as a dedicated Community Partners Board and a broad directory of research volunteers, we endeavor to pioneer the use of biomarkers and contextual data to ensure detection, diagnosis, and treatment for all. It would be highly desirable to have the successful
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