Job Description

Position Description
These positions will focus on leading transformative spanning from discovery to translational to clinical science efforts in cancer early detection, prevention, and data-driven translational and clinical. This role will integrate discovery and translational science, clinical care, genomics, advanced analytics, and community engagement to redefine how cancer is detected early, monitored, and prevented. Particular focus will be in the field of cancer interception - delaying or preventing cancer development or progression of nascent disease-particularly in pre-cancer and high-risk populations.

Strategic Role and Leadership Expectations
The Early-Detection and Interception Physician and Scientist Investigators will:

• Design and lead prospective cohorts of healthy individuals and high-risk populations to study cancer initiation, progression, and interception.
• Develop strategies to identify individuals at risk (pre-cancer) and guide them to appropriate screening, prevention, and early intervention pathways.
• Integrate clinical, genomic, and longitudinal health data to monitor disease evolution and enable early therapeutic intervention and clinical trials.
• Partner with institutional programs (e.g., Mayo Clinic Platform, the Mayo Clinic AI Program, the Center for Individualized Medicine, the Department of Laboratory Medicine and Pathology, Clinical Genetics) to implement comprehensive, clinical-grade genomic sequencing initiatives or other AI-based multimodal predictive algorithms for early cancer detection and guiding interception in community-based screening and clinical settings.
• Expand cancer risk evaluation to include AI-driven, multi-parametric models incorporating multiple variables (eg. longitudinal clinical data, radiomics, digital pathology, genetics/genomics, exposome, epidemiology and behavioral data, etc.).
• Expand access to advanced genomic diagnostics across diverse care settings and utilized genomic insights to inform risk assessment, early detection, and personalized treatment strategies.
• Collaborate with discovery science investigators to develop, test and validate novel methods for early cancer detection and diagnosis.
• Lead and develop a translational science program focused on early detection, cancer interception (including immunoprevention).
• Utilize data warehouses unifying clinical, genomic, imaging, and outcomes data.
• Lead the development of data surveillance and visualization tools to monitor cancer trends across patient populations and communities.
• Partner with clinical and community organizations to build collaborative, community-based clinical trial networks, focused on prevention and early detection/screening trials.
• Expand access to innovative trials and precision medicine approaches in diverse and underserved populations.
• Extend institutional impact nationally and globally through scalable models of care and research.

The successful candidates will build and lead large-scale, longitudinal patient cohorts; drive discovery science and/or develop clinical-grade genomic programs; and leverage integrated data platforms, artificial intelligence, and digital health tools to improve patient outcomes and expand access to cutting-edge care.

Research Environment

Mayo Clinic offers a highly collaborative and integrated academic medical center environment with expanding strengths in cell therapy, cancer immunotherapy, regenerative medicine, and translational science. 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 institutional core facilities including genomics, single-cell sequencing, proteomics, bioinformatics, advanced imaging, computational resources and AI tools.
• Focused drive to launch first-in-human trails to bring new treatments to patients
• Dedicated institutional support for regulatory strategy, clinical trial development, and commercialization pathways
• Developing biotechnology corridor attracting partner companies for the accelerating translation of discoveries.
• Cross-campus enterprise collaboration opportunities with the three Mayo Clinic Destination Medical Center Sites (Rochester, Minnesota; Jacksonville, Florida; and Phoenix and Scottsdale, AZ).

The selected candidates may house their programs on either the Mayo Clinic Arizona or Minnesota campuses but will work across the Mayo Clinic enterprise. They will help shape a coordinated, forward-looking therapy strategy that advances precision medicine for cancer risk determination and clinical translation of therapeutics directed at preventing cancer development or progression of nascent disease.

Qualifications

Qualified candidates must hold a doctoral degree (M.D., M.D./Ph.D., Ph.D., Sc.D., or equivalent) in genetics, molecular biology, immunology, biomedical engineering, computational modeling or a related discipline.

• If clinically trained, be board-certified or board-eligible in Medical Oncology, Hematology/Oncology, or a relevant specialty (including surgical or other medical specialties)

Candidates should demonstrate:

• Demonstrated leadership in clinical and translational research
• Experience with early detection, cancer genomics, population health, or digital health innovation
• Have a strong track record of peer-reviewed funding (e.g., NIH, industry, foundations) and a strong track record of high-quality peer-reviewed publications

Appointment level (Assistant, Associate, or Full Professor) will be commensurate with experience and years in rank, scholarly achievement, leadership experience, and funding record.