Computational Pathology & AI Research Scientist

University of Utah; Salt Lake City (UT); Presencial; USD 36.000 - 83.000; Jornada completa

Descripción de la vacante

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.

Formación

• 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.
• Desirable: Computational pathology; multimodal ML; spatial omics; GPU computing; reproducible environments.

Responsabilidades

• 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 bioinformatician, 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.

Conocimientos

Python

Linux/Unix

Computer Vision

Deep Learning

Scientific Programming

Educación

PhD in a scientific discipline

Herramientas

PyTorch

TensorFlow

Descripción del empleo

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.