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University of Utah

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Research Scientist (PhD) in Computational Pathology, AI, and Multi-omics at University of Utah University of Utah in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full-time benefited staff position with a pay rate range of $36,196 to $83,036. No explicit tuition or stipend funding is mentioned.

Deadline

Dec 31, 2026

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Country

United States

University

University of Utah

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Keywords

Computer Science
Biomarker Research
Biomedical Engineering
Deep Learning
Biology
Artificial Intelligence
Image Processing
Computer Vision
Medical Science
Omics
Statistics
Spatial Transcriptomic

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About this position

Research Scientist (PhD) opening at the University of Utah in Salt Lake City, Utah, with the Pan Lab at the Huntsman Cancer Institute and the Department of Oncological Sciences.

This is a computational research role focused on artificial intelligence, computational pathology, computer vision, deep learning, image processing, multi-omics, spatial biology, and precision oncology. The lab studies cancer using digital pathology and multi-omics data, with an emphasis on translating quantitative tissue phenotypes into biologically and clinically meaningful insights.

Research areas include: whole-slide histopathology image analysis, tissue and cellular segmentation, classification, quantitative image analysis, scalable computational pipelines, tumor morphology, tissue architecture, immune and stromal microenvironments, spatial heterogeneity, integration of digital pathology with spatial transcriptomics and spatial proteomics, biomarker discovery, patient stratification, and outcome prediction.

Eligibility highlights: a PhD in a scientific discipline is required for the Research Scientist I level, or an equivalent combination of education and directly related experience. Preferred backgrounds include Computer Science, Biomedical Engineering, Electrical/Computer Engineering, Bioinformatics, Computational Biology, Data Science, Applied Mathematics, Statistics, or related quantitative fields. Strong Python and Linux/Unix skills are emphasized, along with experience in computer vision, deep learning, PyTorch/TensorFlow, and reproducible scientific workflows.

Funding and employment: this is a full-time benefited staff position, not a scholarship. The listed pay range is $36,196 to $83,036. The posting notes that the department may hire at different levels depending on business need and budget.

How to apply: submit a CV, a cover letter, and three references through the University of Utah application portal. Applicants are encouraged to highlight GitHub or Hugging Face links if available and to describe experience with Python, Linux, computer vision, computational pathology, and multi-omics analysis.

Deadline: 2026-12-31. Location: Salt Lake City, Utah, United States.

Funding details

Full-time benefited staff position with a pay rate range of $36,196 to $83,036. No explicit tuition or stipend funding is mentioned.

What's required

Requires a PhD in a scientific discipline or equivalent combination of education and directly related experience for the Research Scientist I level. Preferred candidates have a PhD 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 Python programming, Linux/Unix command-line experience, image processing, computer vision, deep learning, and/or large language model experience are preferred, along with familiarity with PyTorch or TensorFlow, ability to independently develop and maintain scientific pipelines, strong quantitative problem-solving skills, and effective collaboration/communication skills. Experience with computational pathology, spatial transcriptomics/proteomics, multimodal machine learning, HPC/GPU computing, and scientific productivity is desirable.

How to apply

Submit a CV, a 1-page cover letter describing research experience, computational expertise, and research interests, and contact information for three references. Highlight Python, Linux, computer vision/image processing, computational pathology, and/or multi-omics experience if applicable.

More information can be found here

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