Division Chief - Cancer Data and AI

About the role

The University of Utah's Department of Oncological Sciences (OncSci), in conjunction with Huntsman Cancer Institute (HCI), invites applications for a visionary and mission-driven leader to serve as a senior faculty member and Chief of the new Division of Cancer Data and Artificial Intelligence (CDAI).

Responsibilities

• Define and execute the strategic vision for the CDAI Division, in collaboration with aligned leaders.
• Help recruit faculty to the CDAI Division and, if applicable, to the Vineyard campus.
• Build and manage transdisciplinary teams between the two campuses and across oncological sciences, bioinformatics, and computer science.
• Lead an innovative research program in AI-driven cancer biology, diagnostics, and/or therapeutics.
• Provide mentorship for early career faculty in the CDAI Division and participate in education of the next generation of cancer data scientists by participating in training programs and research mentorship.
• Foster collaborations with academic institutions (e.g., UVU, BYU) and Silicon Slopes tech partners.
• Secure extramural funding and oversee large-scale research initiatives.
• Translate data science innovations into real-world clinical applications.
• Represent the CDAI Division on national and international platforms.

Qualifications

• 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: Expertise in 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.

What We Offer

• 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.
• Competitive compensation and benefits.
• Leadership support to establish a nationally recognized center of excellence in cancer data and AI.