AI-Driven Computational Pathology Research Scientist

Huntsmancancer; Utah; On-site; USD 90,000 - 130,000; Full time

Job summary

The Pan Lab at the Huntsman Cancer Institute (HCI), University of Utah is seeking a highly motivated computational researcher to join our interdisciplinary 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.

Qualifications

• Ph.D. or equivalent doctoral degree or substantial relevant research experience.
• Strong programming skills in Python.
• Experience in Linux/Unix environments and command-line workflows.
• Experience in image processing, computer vision, deep learning, and/or large language models.
• Familiarity with PyTorch or TensorFlow.
• Ability to independently develop, debug, and maintain scientific analysis pipelines.

Responsibilities

• Analyze whole-slide histology images and multimodal data, integrating imaging features with molecular and clinical information.
• Develop and maintain computational analysis pipelines and software tools.
• Collaborate across computational, biological, pathological and clinical disciplines to advance translational cancer research.

Skills

Python

Linux

Image processing

Computer vision

Deep learning

PyTorch

TensorFlow

Scientific programming

Education

PhD or equivalent doctoral degree

Tools

PyTorch

TensorFlow

Job description

The Pan Lab at the Huntsman Cancer Institute (HCI), University of Utah is seeking a highly motivated computational researcher to join our interdisciplinary 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.