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) in Phoenix and Scottsdale, Arizona, and in Rochester, Minnesota, invite applications for open-rank faculty positions in Early Cancer Detection and Interception with strong leadership potential and a commitment to advancing cancer research into clinical impact. 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. These AI programs focus on multimodal virtual cell and organ predictive modeling, digital twins, and AI-based early cancer detection and interception, drug discovery, and guided intervention. MCCCC also created one of the nation’s first National Cancer Institute (NCI)-Designated Cancer Center Research Programs focused on early cancer detection and interception: Cancer Risk Assessment, Early Detection, and Interception (REDI).

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.

Requirements

• 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)
• 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

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 (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.
• 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.

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