Chief, Cancer Data & AI Division

University of Utah

Salt Lake City (UT)

On-site

USD 130,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Collaborative, mission-oriented academic environment
Access to rich datasets and advanced computational infrastructure
Competitive compensation and benefits
Leadership support for a center of excellence

Job summary

A prominent US university is seeking a visionary leader to serve as Chief of the new Division of Cancer Data and Artificial Intelligence. The role includes defining a strategic vision and leading research in AI-driven cancer biology and diagnostics. The ideal candidate will have an advanced degree and a strong record in data science applications within healthcare. This position promotes collaboration with local universities and tech partners, ensuring advancements in cancer research and care in the Mountain West region.

Qualifications

  • Exceptional communication and team-building skills.
  • Proven leadership in AI or data science with healthcare research applications.
  • Strong publication and funding record.

Responsibilities

  • Define and execute the strategic vision for the CDAI Division.
  • Help recruit faculty to the CDAI Division.
  • Lead an innovative research program in AI-driven cancer biology, diagnostics, and/or therapeutics.
  • Foster collaborations with academic institutions and tech partners.
  • Secure extramural funding and oversee large-scale research initiatives.

Skills

AI-driven cancer biology
Data science
Communication
Team-building
Leadership in healthcare research

Education

PhD, MD, or equivalent in computational biology, data science, computer science, engineering, oncology, or related fields

Tools

Machine learning
Generative AI
Large Language Models (LLMs)

Job description

A prominent US university is seeking a visionary leader to serve as Chief of the new Division of Cancer Data and Artificial Intelligence. The role includes defining a strategic vision and leading research in AI-driven cancer biology and diagnostics. The ideal candidate will have an advanced degree and a strong record in data science applications within healthcare. This position promotes collaboration with local universities and tech partners, ensuring advancements in cancer research and care in the Mountain West region.
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