Post Doc Res Assoc
Listed on 2026-10-20
-
Research/Development
Postdoctoral Research Fellow, Data Scientist, Research Scientist, Biomedical Science
Details
Open Date
Open Date 08/04/2026
Requisition Number
Requisition Number PRN
45834B
Job Title
Job Title Post Doc Res Assoc
Working Title
Working Title Post Doc Res Assoc
Career Progression Track A00
FLSA Code
FLSA Code Administrative
Patient Sensitive Job Code?
Patient Sensitive Job Code? No
Standard Hours per Week 40
Full Time or Part Time?
Full Time or Part Time? Full Time
Work Schedule Summary
Typically M-F 8-5
VP Area
VP Area U of U Health
- Academics
Pay Rate Range
Pay Rate Range $63,480
Close Date
Close Date 11/03/2026
Priority Review Date (Note
- Posting may close at any time)
The Department of Radiology and Imaging Sciences at the University of Utah invites applications for a Postdoctoral Research Fellow position in the Brain Network Lab. The successful candidate will join a multidisciplinary research team that includes faculty from radiology, psychology, biomedical engineering, and related disciplines. The Brain Network Lab is dedicated to understanding structural and functional brain changes across the lifespan.
This position will contribute to the Department of Radiology and Imaging Sciences’ growing research initiative focused on identifying the etiology and biomarkers of neurodegenerative disorders. Research projects will leverage unique longitudinal neuroimaging datasets available through the University of Utah and its collaborative research programs.
Current projects focus on healthy aging, neurodegenerative diseases, and neurodevelopmental conditions, including developmental disabilities. The postdoctoral fellow will lead and contribute to the development and application of advanced neuroimaging analysis pipelines, including:
- Longitudinal structural MRI analysis
- Resting‑state functional MRI connectivity and network analysis
- Individualized brain parcellation and precision neuroimaging approaches
- Multimodal image processing, registration, and quantitative analysis
- Biomarker discovery using large‑scale longitudinal datasets
This position offers outstanding opportunities for multidisciplinary mentorship, scientific collaboration, and professional development. The fellow will work closely with investigators across multiple departments and will have access to extensive longitudinal imaging resources and computational infrastructure. Training will emphasize the development of independent research skills, grant writing, manuscript preparation, and career advancement toward academic, industry, or clinical research careers. Salary will be commensurate with experience and qualifications and consistent with current NIH postdoctoral stipend guidelines.
Minimum QualificationsRequired
- PhD (completed or anticipated before the start date) in Neuroscience, Biomedical Engineering, Psychology, Computer Science, Medical Physics, or a related field
- Evidence of research productivity, including peer‑reviewed publications
- Strong quantitative and analytical skills
- Experience with neuroimaging analysis methods and software (e.g., Free Surfer, FSL, AFNI, ANTs, Connectome Workbench)
- Programming experience in Python, MATLAB, R, or related languages
- Experience with image processing, registration, machine learning, or computational neuroscience methods
- Interest in aging, neurodegenerative disease, developmental disabilities, or lifespan neuroscience
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the…
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