Faculty Position: Early Cancer Detection and Interception Physician and Scientist Investigators

Mayo Clinic • Phoenix, AZ

3d • Hybrid

About The Position

The Mayo Clinic and Mayo Clinic Comprehensive Cancer Center (MCCCC) are seeking open-rank faculty positions for Early Cancer Detection and Interception roles. These positions are based in Phoenix and Scottsdale, Arizona, and Rochester, Minnesota. The focus is on advancing cancer research from discovery to clinical impact, utilizing world-class research hubs, AI-driven discovery, translational and clinical programs, and extensive computational resources. A key aspect is the development of longitudinal patient cohorts and AI-based predictive modeling for early cancer detection and interception. The role involves integrating discovery and translational science, clinical care, genomics, advanced analytics, and community engagement to redefine cancer detection, monitoring, and prevention, with a particular emphasis on cancer interception in pre-cancer and high-risk populations.

Requirements

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

Responsibilities

• 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 to implement comprehensive, clinical-grade genomic sequencing initiatives or other AI-based multimodal predictive algorithms for early cancer detection and guiding interception.
• Expand cancer risk evaluation to include AI-driven, multi-parametric models incorporating multiple variables.
• Expand access to advanced genomic diagnostics across diverse care settings and utilize 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.
• Build and lead large-scale, longitudinal patient cohorts.
• Drive discovery science and/or develop clinical-grade genomic programs.
• Leverage integrated data platforms, artificial intelligence, and digital health tools to improve patient outcomes and expand access to cutting-edge care.
• 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.

Benefits

• Competitive startup and sustained institutional support
• Investment in team science and program-building initiatives
• Access to a $1B+ annual research enterprise
• Infrastructure for IND-enabling studies and early-phase clinical trials
• Exceptional benefits, including retirement and pension programs
• A culture that values innovation, inclusion, and transdisciplinary collaboration

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree