Research Scientist Visa Sponsorship Jobs in Utah
Research scientist roles in Utah are concentrated in Salt Lake City, Provo, and the growing biotech and tech corridors connecting them. Major employers including the University of Utah, Recursion Pharmaceuticals, and Merit Medical Systems have established records of sponsoring international researchers. Competition for these positions is real, but Utah's expanding life sciences and technology sectors create consistent demand.
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Get Access To All JobsINTRODUCTION
The Pan Lab at the Huntsman Cancer Institute (HCI), University of Utah is seeking a highly motivated computational researcher to join our interdisciplinary research team. Our lab develops artificial intelligence (AI) and computational approaches to study cancer using digital pathology and multi-omics data, with an emphasis on translating quantitative tissue phenotypes into biologically and clinically meaningful insights.
We are particularly interested in candidates with strong computational skills in computer vision, deep learning, image processing, and scientific programming. The successful candidate will work primarily on computational pathology and multimodal cancer research, including analysis of whole-slide histopathology images and integration of imaging-derived features with spatial, molecular and clinical data.
The Pan Lab is based at Huntsman Cancer Institute and the Department of Oncological Sciences at the University of Utah. Our research lies at the intersection of artificial intelligence, computational pathology, spatial biology, and precision oncology.
The successful candidate will have opportunities to work with large-scale digital pathology and molecular datasets, develop new computational methodology, collaborate across computational, biological, pathological, and clinical disciplines, and contribute to high-impact translational cancer research.
Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide.
In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute’s mission and this position.
JOB SUMMARY
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
The successful candidate will contribute to projects involving:
- Development and application of computer vision and deep learning methods for pathology images, including tissue and cellular segmentation, classification, and quantitative image analysis.
- Development and maintenance of scalable and reproducible computational pipelines for large pathology and multi-omics datasets.
- Characterization of tumor morphology, tissue architecture, immune and stromal microenvironments, and spatial heterogeneity.
- Integration of digital pathology with spatial transcriptomics, spatial proteomics, and other molecular data.
- Development of multimodal approaches for biomarker discovery, patient stratification, and outcome prediction.
- Analysis of large datasets using Linux-based high-performance and GPU computing environments.
- Collaboration with bioinformaticians, pathologists, cancer biologists, and clinical investigators to design analyses and interpret results.
- Preparation of scientific manuscripts and presentation of research findings at internal meetings and national/international conferences.
HOW TO APPLY
Interested applicants should submit:
- A CV with links to GitHub repositories or Hugging Face if available.
- A cover letter describing research experience, computational expertise, and research interests (1-page);
- Contact information for three references.
Applicants are encouraged to highlight their experience with Python, Linux, computer vision/image processing, computational pathology, and/or multi-omics analysis.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Research Scientist, I: Requires a PhD in a scientific discipline, or an equivalent combination of education and directly related experience.
PREFERENCES
Preferred candidates have:
- A Ph.D. or equivalent doctoral degree, or substantial relevant research experience, in Computer Science, Biomedical Engineering, Electrical/Computer Engineering, Bioinformatics, Computational Biology, Data Science, Applied Mathematics, Statistics, or a related quantitative discipline.
- Strong programming skills in Python.
- Experience working in a Linux/Unix environment, including command-line workflows.
- Experience in image processing, computer vision, deep learning, and/or large language models.
- Familiarity with modern deep-learning frameworks such as PyTorch or TensorFlow.
- Ability to independently develop, debug, and maintain scientific analysis pipelines.
- Strong quantitative problem-solving skills and the ability to learn new computational methods independently.
- Effective communication skills and the ability to work collaboratively in an interdisciplinary research environment.
Experience in one or more of the following areas is desirable:
- Computational pathology.
- Deep learning for image segmentation, classification, object detection, representation learning, or related computer-vision tasks.
- Spatial transcriptomics or spatial proteomics, including platforms such as 10x Visium or Xenium.
- Multimodal machine learning and image–omics integration.
- High-performance/ GPU computing, workload schedulers, containers, and reproducible computational environments.
- Scientific productivity demonstrated through peer-reviewed publications, conference presentations, software, or other research outputs.
Candidates are not expected to have experience in all of these areas. We particularly value strong computational fundamentals, rigorous problem-solving skills, scientific curiosity, and the ability to independently learn new methods.
LOCATION
Location: Campus
City: Salt Lake City, UT
COMPENSATION
Pay Rate Range: $36,196 to $83,036
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
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.
INTRODUCTION
The Pan Lab at the Huntsman Cancer Institute (HCI), University of Utah is seeking a highly motivated computational researcher to join our interdisciplinary research team. Our lab develops artificial intelligence (AI) and computational approaches to study cancer using digital pathology and multi-omics data, with an emphasis on translating quantitative tissue phenotypes into biologically and clinically meaningful insights.
We are particularly interested in candidates with strong computational skills in computer vision, deep learning, image processing, and scientific programming. The successful candidate will work primarily on computational pathology and multimodal cancer research, including analysis of whole-slide histopathology images and integration of imaging-derived features with spatial, molecular and clinical data.
The Pan Lab is based at Huntsman Cancer Institute and the Department of Oncological Sciences at the University of Utah. Our research lies at the intersection of artificial intelligence, computational pathology, spatial biology, and precision oncology.
The successful candidate will have opportunities to work with large-scale digital pathology and molecular datasets, develop new computational methodology, collaborate across computational, biological, pathological, and clinical disciplines, and contribute to high-impact translational cancer research.
Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide.
In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute’s mission and this position.
JOB SUMMARY
The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.
Responsibilities
The successful candidate will contribute to projects involving:
- Development and application of computer vision and deep learning methods for pathology images, including tissue and cellular segmentation, classification, and quantitative image analysis.
- Development and maintenance of scalable and reproducible computational pipelines for large pathology and multi-omics datasets.
- Characterization of tumor morphology, tissue architecture, immune and stromal microenvironments, and spatial heterogeneity.
- Integration of digital pathology with spatial transcriptomics, spatial proteomics, and other molecular data.
- Development of multimodal approaches for biomarker discovery, patient stratification, and outcome prediction.
- Analysis of large datasets using Linux-based high-performance and GPU computing environments.
- Collaboration with bioinformaticians, pathologists, cancer biologists, and clinical investigators to design analyses and interpret results.
- Preparation of scientific manuscripts and presentation of research findings at internal meetings and national/international conferences.
HOW TO APPLY
Interested applicants should submit:
- A CV with links to GitHub repositories or Hugging Face if available.
- A cover letter describing research experience, computational expertise, and research interests (1-page);
- Contact information for three references.
Applicants are encouraged to highlight their experience with Python, Linux, computer vision/image processing, computational pathology, and/or multi-omics analysis.
MINIMUM QUALIFICATIONS
EQUIVALENCY STATEMENT: 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
Department may hire employee at one of the following job levels:
Research Scientist, I: Requires a PhD in a scientific discipline, or an equivalent combination of education and directly related experience.
PREFERENCES
Preferred candidates have:
- A Ph.D. or equivalent doctoral degree, or substantial relevant research experience, in Computer Science, Biomedical Engineering, Electrical/Computer Engineering, Bioinformatics, Computational Biology, Data Science, Applied Mathematics, Statistics, or a related quantitative discipline.
- Strong programming skills in Python.
- Experience working in a Linux/Unix environment, including command-line workflows.
- Experience in image processing, computer vision, deep learning, and/or large language models.
- Familiarity with modern deep-learning frameworks such as PyTorch or TensorFlow.
- Ability to independently develop, debug, and maintain scientific analysis pipelines.
- Strong quantitative problem-solving skills and the ability to learn new computational methods independently.
- Effective communication skills and the ability to work collaboratively in an interdisciplinary research environment.
Experience in one or more of the following areas is desirable:
- Computational pathology.
- Deep learning for image segmentation, classification, object detection, representation learning, or related computer-vision tasks.
- Spatial transcriptomics or spatial proteomics, including platforms such as 10x Visium or Xenium.
- Multimodal machine learning and image–omics integration.
- High-performance/ GPU computing, workload schedulers, containers, and reproducible computational environments.
- Scientific productivity demonstrated through peer-reviewed publications, conference presentations, software, or other research outputs.
Candidates are not expected to have experience in all of these areas. We particularly value strong computational fundamentals, rigorous problem-solving skills, scientific curiosity, and the ability to independently learn new methods.
LOCATION
Location: Campus
City: Salt Lake City, UT
COMPENSATION
Pay Rate Range: $36,196 to $83,036
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
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.
Research Scientist Job Roles in Utah
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Search Research Scientist Jobs in UtahResearch Scientist Jobs in Utah: Frequently Asked Questions
Which companies in Utah sponsor visas for research scientists?
The University of Utah and Utah State University are among the most active sponsors, particularly for academic and biomedical research roles. In the private sector, Recursion Pharmaceuticals, Myriad Genetics, and Merit Medical Systems have sponsored research scientists through H-1B visa petitions. Large technology employers in the Silicon Slopes corridor, including Adobe and Qualtrics, also sponsor research-oriented roles, though hiring volume and sponsorship decisions vary by team and project.
Which visa types are most commonly used for research scientist roles in Utah?
The H-1B is the most common visa for research scientists in Utah's private sector, requiring employer sponsorship and a specialty occupation designation tied to a relevant degree. University-based and postdoctoral researchers frequently work on J-1 visas through institutional exchange programs. For scientists with an exceptional record of published work or funded research, the O-1A is an alternative that bypasses the H-1B lottery entirely. Some positions at universities qualify for cap-exempt H-1B petitions.
How to find research scientist visa sponsorship jobs in Utah?
Migrate Mate is built specifically for international researchers and scientists searching for visa sponsorship jobs in the United States. You can filter directly for research scientist roles in Utah, surfacing employers with documented H-1B sponsorship histories. This is more targeted than general job searches because the platform focuses on positions where sponsorship is a real possibility, not just a remote option. Start there and prioritize employers in Salt Lake City and Provo's life sciences clusters.
Which cities in Utah have the most research scientist sponsorship opportunities?
Salt Lake City concentrates the largest share of research scientist sponsorship activity, driven by the University of Utah's research enterprise and the city's growing biotech presence. Provo and the surrounding Utah County area benefit from Brigham Young University and a dense cluster of technology companies. Ogden, home to Weber State University and several defense contractors, offers a smaller but distinct set of research roles, particularly in applied sciences and engineering research.
Are there any Utah-specific factors research scientists should know before pursuing sponsorship?
Utah's life sciences sector has expanded significantly, with the state ranking among the fastest-growing biotech markets in the country, which creates genuine demand for research scientists. However, many smaller Utah biotech startups have limited experience with visa sponsorship. Candidates targeting these companies may need to educate hiring managers about the H-1B process. University research positions, particularly at the University of Utah, tend to have established international hiring pipelines and HR teams familiar with sponsorship requirements.
What is the prevailing wage for sponsored research scientist jobs in Utah?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.