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Division Chief - Cancer Data and AI

LinkedIn University of Utah Salt Lake City, UT
Executive Posted May 1, 2026 Job link
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Not Met Priorities
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Requirements
  • Associate or Full Professor with a PhD, MD, or equivalent in computational biology, data science, computer science, engineering, oncology, or related fields.
  • Exceptional communication and team-building skills.
  • Proven leadership in AI or data science with healthcare research applications.
  • Strong publication and funding record.
Preferred Skills
  • Preferred Expertise
  • Machine learning, generative AI, large language models (LLMs), and data integration.
  • Oncology data types: Molecular data (genetics, genomics and epigenomics, spatial -omics, systems biology, molecular epidemiology), EHRs, imaging, digital health, and real-world evidence.
  • Bridging research with clinical and population data.
  • A collaborative, mission-oriented academic environment.
  • Access to rich datasets and advanced computational infrastructure, with a new $50 million pledge to advance AI for cancer research
  • Synergy with Scientific Computing Institute (SCI), the Data Exploration and Learning for Precision Health Intelligence (DELPHI), Responsible Artificial Intelligence (RAI), and other University initiatives
  • Strategic partnerships with federal agencies and regional health systems.
Education
  • (Not required) – Associate or Full Professor with a PhD, MD, or equivalent in computational biology, data science, computer science, engineering, oncology, or related fields.