Associate Professor to Professor DOQ

Associate Professor to Professor DOQ Details Opportunity 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). HCI is the only NCI-designated Comprehensive Cancer Center in the Mountain West, serves five states, and is establishing a new state-of-the-art campus in Vineyard, Utah. This tenure-track faculty position will be hired immediately, with anticipated future base at the new HCI Vineyard Campus. HCI Vineyard Campus The new HCI center in Vineyard provides access to patients in central and southern Utah and offers opportunities for collaboration with academic and entrepreneurial partners, including Utah Valley University, BYU, and Silicon Slopes companies. The campus will advance four key areas: health care transformation, AI/Data Science & Digital Oncology, innovation in clinical trials, and community outreach & engagement. The CDAI Division supports the AI/data science focus and will be central to integrating computational oncology with basic and translational research. Key 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 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 Machine learning, generative AI, large language models (LLMs), and data integration. Oncology data types: molecular data (genetics, genomics, 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. HCI and the University of Utah are known for their highly collaborative and collegial culture, where faculty work across disciplines to solve the most pressing challenges in cancer care. The successful candidate will thrive in this environment, building bridges between clinical, research, and community teams to deliver measurable impact. 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. Values and Culture The University of Utah Health (U of U Health) is a patient-focused center distinguished by collaboration, excellence, leadership, and respect. The U of U Health values candidates who are committed to fostering and furthering the culture of compassion, collaboration, innovation, accountability, acceptance, integrity, quality, and trust that is integral to our mission. EEO Statement The University of Utah is an Equal Opportunity/Equal Employment Opportunity Employer. The University of Utah encourages applications from individuals of all backgrounds and provides reasonable accommodations upon request. Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities. Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. #J-18808-Ljbffr The Chronicle Of Higher Education, Inc.