WRAP Scientist


University of Wisconsin - Madison


Madison , Wisconsin

Principal Investigator

Sterling Johnson



The Wisconsin Registry for Alzheimer’s Prevention (WRAP) is seeking an imaging scientist to join a long-running imaging biomarker study of Alzheimer’s disease and related disorders. With renewed NIH funding, WRAP seeks to gain clarity on the brain changes and sequence of events that occur in AD prior to its symptoms that can be detected from molecular PET neuroimaging together with MRI and fluid biomarkers.

Preference is given to applicants who bring experience in brain imaging techniques, common analysis approaches, and scripting ability to efficiently process multimodal imaging datasets  Major scientific goals for this position include image processing and analysis and writing papers for publication.

This opportunity is affiliated with the Wisconsin Registry for Alzheimer’s Prevention and the Imaging and Biomarker core of the Wisconsin Alzheimer’s Research Center. The applicant will join a vibrant multidisciplinary team.

There is ample opportunity for collaboration with investigators and teams at the Waisman Center and in the departments of medical physics, radiology, and computer science. 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.

Application deadline is 11:55 p.m. on January 15, 2022.


Applicants should have a Ph.D. in an applicable field such as medical physics, bioengineering, or neuroscience. Applicants should have the knowledge and skill set 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. Applicants should possess ability to work both independently and cooperatively in a team, supervise technicians and students, and familiarity with medical imaging file formats (e.g., ECAT, DICOM, NIfTI, etc.), quantitative analysis principles, and common approaches to image analysis. Experience with basic neuroanatomy, several programing languages, and with curating, compiling, and analyzing large neuroimaging datasets in human research is strongly preferred. Ability to work with and customize data management tools is required.