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Computational Neuroscience Jobs in Utah (NOW HIRING)

University of Utah

Post Doc Res Assoc

Salt Lake City, UT · On-site

$63K/yr

... or computational neuroscience methods • Interest in aging, neurodegenerative disease, developmental disabilities, or lifespan neuroscience Preferences Type Benefited Staff Special Instructions ...

University of Utah

Lab Technician

Salt Lake City, UT · On-site

$19 - $21.63/hr

Data Management & Analysis Support * Assist with computational analysis by executing established ... A Bachelor's degree in Neuroscience, Biology, Psychology, Bioengineering, or a closely related ...

University of Utah

Lab Technician

Salt Lake City, UT

$19 - $21.63/hr

Data Management & Analysis Support * Assist with computational analysis by executing established ... A Bachelor's degree in Neuroscience, Biology, Psychology, Bioengineering, or a closely related ...

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Computational Neuroscience information

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$37

$50

$67

How much do computational neuroscience jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for computational neuroscience in Utah is $50.00, according to ZipRecruiter salary data. Most workers in this role earn between $42.69 and $66.97 per hour, depending on experience, location, and employer.

What is computational neuroscience?

Computational neuroscience involves studying brain function through computer modeling and mathematical analysis. Computational neuroscientists perform research in which they collect data and create computer models based on the electrical patterns and biological functions of the brain. Researchers in this field may focus on making connections between brain functions and cognition, sensory experience, or the behavior of the central nervous system. They may use computer models and data to create theoretical models. Other scientists may test the models to see if they have biological or psychological applications.

What is computational neuroscience?

Computational neuroscience is an interdisciplinary field that uses mathematical models, computer simulations, and theoretical analysis to understand how the brain processes information. Researchers in this field aim to explain neural phenomena by modeling the functions of neurons, neural circuits, and overall brain systems. By combining principles from neuroscience, computer science, physics, and mathematics, computational neuroscience helps bridge the gap between biological data and theoretical understanding, ultimately advancing our knowledge of brain function and cognition.

What are the key skills and qualifications needed to thrive as a computational neuroscientist, and why are they important?

To thrive as a Computational Neuroscientist, you need a strong background in neuroscience, mathematics, and computer science, often supported by an advanced degree (PhD or MSc) in a related field. Proficiency with programming languages (such as Python or MATLAB), computational modeling software, and data analysis tools is typically required. Critical thinking, problem-solving, and effective collaboration are standout soft skills in this interdisciplinary field. These skills and qualities enable the development and interpretation of complex brain models, driving scientific discovery and innovation in neuroscience.

What are some common challenges faced by professionals in computational neuroscience, and how can they be addressed?

Professionals in computational neuroscience often encounter challenges such as integrating diverse data types (e.g., electrophysiological, imaging, and behavioral data) and keeping up with rapidly evolving computational tools and methods. Collaborating closely with experimental neuroscientists and computer scientists is essential to bridge knowledge gaps and ensure robust model development. Continuous learning through workshops, conferences, and online courses can help professionals stay current with new techniques and best practices in the field.

What is the difference between Computational Neuroscience vs Neuroscientist?

AspectComputational NeuroscienceNeuroscientist
Required CredentialsAdvanced degrees in neuroscience, computer science, or related fieldsTypically PhD in neuroscience or related disciplines
Work EnvironmentResearch labs, universities, tech companies focusing on modeling and data analysisResearch institutions, hospitals, universities studying brain function
Industry UsageDevelops models, algorithms, and simulations of neural systemsInvestigates brain mechanisms, conducts experiments, publishes research

Computational Neuroscience focuses on creating models and simulations of neural systems using computational methods, while Neuroscientists primarily conduct experimental research to understand brain function. Both roles often collaborate but differ in their approach and tools used.

How do you become a computational neuroscientist?

To become a computational neuroscientist, one typically earns a bachelor's degree in neuroscience, computer science, or a related field, followed by a master's or Ph.D. in computational neuroscience, neuroscience, or a quantitative discipline. Developing skills in programming, data analysis, and mathematical modeling, along with experience using tools like MATLAB or Python, is essential for research and analysis in this field.

What does computational neuroscience do?

Computational neuroscience is a field where professionals develop mathematical models and computer simulations to understand how the brain processes information, learns, and adapts. They often use programming skills and neurobiological data to analyze neural systems and contribute to advancements in neuroscience research and brain-inspired technologies.
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Cities in Utah with the most Computational Neuroscience job openings:

Computational Neuroscience jobs near you
Infographic showing various Computational Neuroscience job openings in Utah as of August 2026, with employment types broken down into 12% Internship, and 88% Full Time. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $104,009 per year, or $50 per hour.

Post Doc Res Assoc

Salt Lake City, UT

University of Utah
Colleges, Universities, and Professional Schools • 10K+ employees

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

385th of 623 rated colleges and universities

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$63K/yr

Full-time

Retirement

Re-posted 14 days ago

Job description

Details
Open Date 08/04/2026 Requisition Number PRN45834B Job Title Post Doc Res Assoc Working Title Post Doc Res Assoc Career Progression Track A00 Track Level FLSA Code Administrative Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
Typically M-F 8-5
VP Area U of U Health - Academics Department 00879 - Radiology Research Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range $63,480 Close Date 11/03/2026 Priority Review Date (Note - Posting may close at any time) Job Summary
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.
Responsibilities
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
Training and Career Development
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 Qualifications
Qualifications
Required
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
Preferred
Experience with neuroimaging analysis methods and software (e.g., FreeSurfer, 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
Preferences Type Benefited Staff Special Instructions Summary
If you are interested in the position, please contact:
Dr. Molly Prigge: molly.prigge@hsc.utah.edu 
https://medicine.utah.edu/faculty/molly-b-dubray-prigge
Dr. Jace King: jace.king@hsc.utah.edu
https://healthcare.utah.edu/find-a-doctor/jace-b-king#tabAcademic
Additional Information
The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
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 application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.
Online reports may be submitted at https://oeo.utah.edu

https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.
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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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