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Associate Research Engineer Jobs in Utah (NOW HIRING)

Research Associate

Salt Lake City, UT Β· On-site

$65K - $75K/yr

Details Open Date 08/17/2026 Requisition Number PRN45933B Job Title Research Associate Working ... Experience with MTSS, universal screening, or prevention programming. * Experience consulting with ...

Research Associate

Salt Lake City, UT Β· On-site

$65K - $75K/yr

Announcement Details Open Date 08/17/2026 Requisition Number PRN45933B Job Title Research Associate ... Experience with MTSS, universal screening, or prevention programming. * Experience consulting with ...

By capturing high-resolution immune snapshots, we give drug developers and doctors the decisive signal needed to monitor whether a $200M+ clinical trial succeeds, whether a therapy will cause ...

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Associate Manufacturing Engineer Reporting To: Manager, Operations Engineering Work Schedule ... Through substantial investment in research and development and leveraging our extensive expertise ...

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Showing results 1-20

Associate Research Engineer information

See Utah salary details

$37.8K

$75.2K

$120.2K

How much do associate research engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for associate research engineer in Utah is $75,230.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,600.00 and $86,500.00 per year, depending on experience, location, and employer.

What does an associate research engineer do?

An Associate Research Engineer supports research and development projects by conducting experiments, analyzing data, and assisting with the design and testing of prototypes or systems. They often collaborate with senior engineers and scientists to develop new technologies or improve existing ones. Responsibilities may also include preparing technical reports, maintaining laboratory equipment, and ensuring compliance with safety standards. This role is typically an entry-level engineering position that provides hands-on experience in a research-oriented environment.

What are the key skills and qualifications needed to thrive as an associate research engineer, and why are they important?

To thrive as an Associate Research Engineer, you need a solid background in engineering principles, data analysis, and experimental design, often supported by a relevant bachelor's or master's degree. Familiarity with technical tools such as MATLAB, Python, CAD software, and lab instrumentation is typically required, along with experience in documentation and reporting systems. Strong problem-solving skills, attention to detail, and effective teamwork and communication abilities help set candidates apart. These competencies are essential for driving innovation, ensuring accurate research outcomes, and collaborating efficiently within research and development environments.

What are some common challenges faced by an associate research engineer when working on collaborative projects?

As an Associate Research Engineer, one of the main challenges in collaborative projects is effectively communicating technical findings and progress with multidisciplinary teams, which may include scientists, engineers, and project managers. Balancing multiple priorities, such as meeting project deadlines while ensuring experiments are thoroughly conducted and documented, can also be demanding. Additionally, adapting to rapidly changing project goals or research directions requires flexibility and proactive problem-solving. Building strong relationships and maintaining clear communication channels are essential for overcoming these challenges and contributing successfully to team objectives.

What is the difference between Associate Research Engineer vs Research Engineer?

AspectAssociate Research EngineerResearch Engineer
Required CredentialsBachelor's or Master's in Engineering or related fieldBachelor's or Master's, often with more experience or specialization
Work EnvironmentEntry-level, supporting research projects, labs, or R&D teamsMore independent, leading or executing research initiatives
Employer & Industry UsageCommon in tech, manufacturing, and research institutionsUsed across similar industries, often with more responsibility

The main difference between an Associate Research Engineer and a Research Engineer lies in experience and responsibility. Associate Research Engineers typically support research projects and are in early career stages, while Research Engineers often lead or independently execute research tasks. Both roles require similar educational backgrounds and are prevalent in tech and industrial sectors.

What are the most commonly searched types of Research Engineer jobs in Utah?

The most popular types of Research Engineer jobs in Utah are:

What are popular job titles related to Associate Research Engineer jobs in Utah?

For Associate Research Engineer jobs in Utah, the most frequently searched job titles are:

What cities in Utah are hiring for Associate Research Engineer jobs?

Cities in Utah with the most Associate Research Engineer job openings:

Infographic showing various Associate Research Engineer job openings in Utah as of August 2026, with employment types broken down into 83% Full Time, and 17% Contract. Highlights an 100% In-person job distribution, with an average salary of $75,230 per year, or $36.2 per hour.

Postdoctoral Research Associate

Salt Lake City, UT β€’ On-site

Kessler Foundation
51 - 200 employees

Other

Posted 11 days ago


Job description

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.

Responibilities

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 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
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