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Mayo ClinicVerified from Mayo Clinic's careers page · Oracle HCM

Faculty Position: Artificial Intelligence Scientist, Radiation Oncology

  • Jacksonville, Florida, USA
  • On-site
  • Posted Aug 26, 2026

Visa sponsorship: the posting does not say.

Mayo Clinic had H-1B petitions approved for 407 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. See the record

At a glance

Faculty Position: Artificial Intelligence Scientist, Radiation Oncology at Mayo Clinic, an on-site role based in Jacksonville, Florida, USA. Posted on 26 August 2026, read from Mayo Clinic's own careers page (Oracle HCM), which RealAnalystJobs re-checks daily and removes the role when it closes. Mayo Clinic has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role).

Similar roles on RealAnalystJobs, as of 15 November 2026

About this role

Position Description The Mayo Clinic Comprehensive Cancer Center (MCCCC) enterprise site in Jacksonville, Florida invites applications for an open-rank faculty position for an innovative and accomplished leader in Artificial Intelligence, with experience in Computational Biology preferred, and their application in the basic, translational and clinical research programs within Radiation Oncology. We seek an exceptional investigator (scientist and/or physician) with expertise in artificial intelligence (AI) and its application in basic and translational biology and clinical decision making. The successful candidate will play a central role in advancing a rapidly growing, multidisciplinary heavy particle program focused on discovery science, translational innovation, and clinical impact. A key component of this role will be developing artificial intelligence tools within some of the areas below including, but not limited to: • Bioinformatics, Radiogenomics, and Integrated Multi-omics Analysis • Multimodality Image-Guided Targeting, Radiomics, and Adaptive Radiotherapy • Outcome Modeling and Clinical Decision Support • Medical Physics, Radiation Measurement, and Real-Time Response Assessment • Systems Analysis, Biophysical Analysis, and Translational Radiobiology Strategic Role and Leadership Expectations The investigator will: • Provide scientific expertise and have the opportunity for leadership roles in heavy particle therapy research program • Partner closely with the cancer center to develop next generation AI tools and models for the heavy particle therapy research program. • Develop innovative translational research programs that integrate radiobiology, imaging, computational science, and clinical data to advance precision heavy particle therapy. • Build multidisciplinary collaborations and research infrastructure that accelerate discovery and translation of heavy particle therapy innovations into clinical applications and trials. • Mentor trainees, junior faculty, and research staff within a collaborative and inclusive academic environment. • Participate in institutional initiatives aligned with Mayo Clinic and Mayo Clinic Comprehensive Cance Center’s vision to Cure, Connect, and Transform healthcare through transformative science. The successful candidate will be a key driver in integrating artificial intelligence technologies into existing and emerging radiation oncology platforms, enabling novel approaches to heavy particle therapy. Research Environment Mayo Clinic and Mayo Clinic Comprehensive Cancer Center offer a highly collaborative and integrated academic medical center environment with expanding strengths in cell therapy, cancer immunotherapy, regenerative medicine, and translational science. Mayo Clinic and MCCCC have built a world-class research hub to transform cancer patient care through actionable target discovery and next-generation discovery and therapeutic platforms. These foundational platforms include Mayo Clinic Platform (www.mayoclinicplatform.org) which holds the fully digitized longitudinal patient records from 15M Mayo Clinic patients and 54M patients from across the nation and the globe with collaborating healthcare institutions, which facilitate research through development of longitudinal patient cohorts prior to and following disease diagnosis. Mayo Clinic has also developed very strong AI-driven discovery, translational, and clinical programs with exceptional “on premises” and cloud-based computational resources. Faculty benefit from: • Established CAR-T and immune cell therapy programs with active clinical translation • State-of-the-art genome engineering and cell manufacturing infrastructure • Access to quantum computing • Dedicated AI research laboratory space • Robust disease-focused centers supporting both oncology and non-oncology therapeutic innovation • Dedicated institutional support for regulatory strategy, clinical trial development, and commercialization pathways • Cross-campus collaboration opportunities with Mayo Clinic sites in Minnesota and Arizona Why Choose Mayo Clinic Comprehensive Cancer Center? With 440 members and >1500 aligned cancer physicians working in six Cancer Research Programs (Cancer Prevention, Survivorship & Control; Cancer Risk Assessment, Early Detection & Interception; Cancer Genomics, Signaling, & Metastasis; Cancer Immunology & Immunotherapeutics; Novel Therapeutics & Therapeutic Modalities; Advanced Clinical Trials and Translational Sciences) and 15 Disease Groups focused on clinical trials, MCCCC is a global leader and represents the pinnacle of cancer care, research and education and training. Every year, across its three enterprise sites (Rochester, Minnesota; Phoenix and Scottsdale, Arizona; and Jacksonville, Florida), MCCCC physicians provide expert cancer diagnosis and treatment to more than 150,000 unique patients from across the nation and the globe. The MCCCC Mission: To inspire hope and promote health and healing through integrated research, clinical practice, and education, centered around our primary value: the needs of the patient come first. The MCCCC Vision: To be a global cancer authority: transforming cancer research and practice to assure that our discoveries, knowledge, and expertise are accessible to all, within and beyond our walls, at anyplace and anytime. MCCCC Goals: • To cure cancers through translation of innovative transdisciplinary science to new means of prevention, early detection, interception, intervention, and unparalleled care delivery. • To transform cancer research and practice using category of one data platforms, digital technologies, artificial intelligence (AI), and intelligent automation, creating new models for community and patient engagement, and the conduct of research, clinical trials and patient-centered care delivery in clinical, home, and community settings. • To use Mayo Clinic Platform to engage patients and communities in our catch

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