NeuroImaging Scientist


University of Wisconsin School of Medicine and Public Health


Madison, Wisconsin

Principal Investigator

Sterling Johnson


Please submit a letter of interest and a curriculum vitae which should include a record of research experience and the names of three references before January 21, 2020. Use this link to apply


The Johnson lab and Betthauser lab within the Brain Biomarkers working group of 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, and cerebrospinal fluid datasets in people at risk for Alzheimer’s disease. The scientist will help oversee a portfolio of single-site and multisite prospective projects and existing data sets. The primary duties include scientific analysis and writing and providing primary support to ongoing collaborative projects. Major scientific goals for this position include support for imaging protocol implementation and analysis in a multisite trial; curation and analysis of multimodal imaging and non-imaging AD biomarkers including PET and CSF from multiple study sites; analysis support for ongoing longitudinal studies investigating factors that may contribute to dementia and/or Alzheimer’s disease risk. Salary and benefits are competitive.

This opportunity is affiliated with the Imaging and Biomarker core of the Wisconsin Alzheimer’s Research Center. 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. While the position will be in the Department of Medicine, the incumbent will participate in a thriving collaboration with investigators and teams at the Waisman Center and in the departments of Medical Physics, Radiology, and Computer Science.


The applicant should have a Ph.D. or equivalent degree in an applicable field such as medical physics, bioengineering, biology or neuroscience. The applicant should have the knowledge and skillset to define analytic problems and create solutions and evaluate the efficacy and impact of such solutions in the context of PET and MRI imaging of the brain. The applicant should possess ability to work both independently and cooperatively in a team, 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, several programing languages, and with curating, compiling, and analyzing large neuroimaging data sets in human research is strongly preferred.