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Machine Learning Biomedical Engineer Jobs in Utah

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication ...

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills * Data Science * Statistical Methods * Model Evaluation * Data Cleaning * Data Transformation * Pattern ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Senior ML Engineer

Lehi, UT · On-site

$98K - $134K/yr

ABOUT THIS POSITION Summary We are seeking a highly skilled and innovative Machine Learning Engineer with a passion for building robust, efficient, and domain-specific AI systems using Language ...

Drive Smule's AI-first engineering practices by embedding AI-assisted development, automation, machine learning/deep learning systems, and modern developer productivity tools into daily engineering ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

Data Engineer

Provo, UT · On-site

$108K - $130K/yr

The Data Engineer will own the design, development, and optimization of the data infrastructure that underpins analytics, reporting, and machine learning initiatives across the credit union. Working ...

AI Solutions Engineering Delivery Lead

Salt Lake City, UT · On-site

$99K - $130K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Machine Learning Biomedical Engineer information

What does a machine learning biomedical engineer do?

A Machine Learning Biomedical Engineer applies machine learning techniques to solve problems in biology and medicine. They develop algorithms and models to analyze complex biomedical data, such as medical images, genetic information, or sensor readings. Their work supports advancements in diagnostics, treatment planning, and personalized medicine. Typically, they collaborate with clinicians, researchers, and other engineers to design systems that improve healthcare outcomes.

How does a machine learning biomedical engineer typically collaborate with clinicians and researchers in a healthcare setting?

Machine Learning Biomedical Engineers often work closely with clinicians and researchers to develop algorithms that solve real-world medical challenges. Collaboration usually involves understanding clinical needs, translating them into technical requirements, and iteratively refining models based on feedback from medical experts. Regular meetings, interdisciplinary project teams, and direct participation in data collection or validation studies are common. This collaborative environment ensures that technical solutions are both innovative and clinically relevant, making communication and adaptability essential skills.

What are the key skills and qualifications needed to thrive as a machine learning biomedical engineer, and why are they important?

To thrive as a Machine Learning Biomedical Engineer, you need a strong background in biomedical engineering, data analysis, and machine learning, typically supported by a degree in biomedical engineering, computer science, or a related field. Familiarity with programming languages like Python or R, machine learning frameworks (e.g., TensorFlow, PyTorch), and experience with medical imaging or signal processing tools are commonly required. Critical thinking, problem-solving, and the ability to communicate complex technical concepts to interdisciplinary teams are vital soft skills. These abilities are crucial for developing innovative healthcare solutions, ensuring regulatory compliance, and bridging the gap between technology and medicine.

What is the difference between Machine Learning Biomedical Engineer vs Data Scientist in Biomedical Industry?

AspectMachine Learning Biomedical EngineerData Scientist in Biomedical Industry
Required CredentialsDegree in Biomedical Engineering, Computer Science, or related fields; knowledge of machine learning and biomedical dataDegree in Data Science, Statistics, or related fields; proficiency in data analysis and machine learning
Work EnvironmentResearch labs, healthcare institutions, biotech companiesHealthcare analytics firms, research institutions, biotech companies
Employer & Industry UsageDevelops algorithms for medical devices, diagnostics, and treatment planningAnalyzes biomedical data to inform clinical decisions, research, and product development

Both roles require expertise in machine learning and biomedical data, but Machine Learning Biomedical Engineers focus on developing algorithms for medical applications, while Data Scientists analyze biomedical data to support research and clinical decisions.

What cities in Utah are hiring for Machine Learning Biomedical Engineer jobs?

Cities in Utah with the most Machine Learning Biomedical Engineer job openings:

Post Doc Res Assoc

University of Utah

Salt Lake City, UT • On-site

$63K/yr

Full-time

Retirement

Re-posted 9 days ago


University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

385th of 620 rated colleges and universities


Job description

Announcement
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 Non-Discrimination 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.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US