Imaging Scientist


University of Wisconsin-Madison


Madison, Wisconsin, USA

Principal Investigator

Sterling Johnson


Amy Hawley


Use this link to apply:

The Imaging Core of the Wisconsin Alzheimer’s Disease Research Center (ADRC) is seeking a scientist who has a background in brain imaging to support cutting edge research pertaining to amyloid and tau PET imaging, structural MRI, fluid biomarkers and cognitive decline in people at risk for Alzheimer’s Disease. The scientist will help oversee a portfolio of ongoing projects involving brain changes in Alzheimer’s Disease in the ADRC and the labs of Sterling Johnson, PhD and Tobey Betthauser, PhD. Major scientific
goals for this position include providing support to the ongoing collaborative projects, overseeing image processing and analysis and assisting in writing papers for publication.

This opportunity is affiliated with the Imaging and Biomarker core of the Wisconsin Alzheimer’s Research Center. The applicant will join a vibrant multi-disciplinary collaborative team. The resources of the University for imaging in AD are extensive and include advanced PET imaging with onsite manufactured radioligands for tau and amyloid imaging and synaptic function, and advanced MRI capability for imaging structure, connectivity, and vascular health.

Dedicated to Diversity:
The School of Medicine and Public Health and the Alzheimer’s Disease Research Center have a deep commitment to diversity both as an end in itself, but also as a valuable means for eliminating health disparities. As such, we strongly encourage applications from candidates who foster and promote the values of diversity and inclusion.


The applicant should have a PhD in an applicable field such as medical physics, bioengineering or neuroscience. The applicant should have the knowledge and skillset to define analytic problems and create solutions and evaluate the efficacy and impact of those solutions in the context of PET and MR imaging of the brain. The applicant should possess ability to work both independently and cooperatively in a team, supervise technicians and students, and should be familiar with medical imaging file formats (e.g. ECAT, DICOM, NIfTI, etc.), quantitative analysis principles and common approaches to image analysis. Experience with basic neuroanatomy, one or more programing languages and with curating, compiling, and analyzing large neuroimaging data sets in human research is strongly preferred.