Faculty Position: Computational Immunology Investigators

Mayo Clinic • Phoenix, AZ

11d • Hybrid

About The Position

The Mayo Clinic and Mayo Clinic Comprehensive Cancer Center invite applications for open-rank faculty positions in Computational Immunology with strong leadership potential and a commitment to translating cutting-edge cancer research into clinical impact. Mayo Clinic and Mayo Clinic Comprehensive Cancer Center (MCCCC) have built a world-class research hub - including a very strong artificial intelligence (AI) program focused on virtual cell and organ modeling, digital twins, and AI-based discovery, and, a very strong on premises and cloud-based computational sciences program - dedicated to transforming cancer patient care through target discovery, innovative therapeutic strategies and next-generation immunotherapies. MCCCC has a very strong track record of translation of discoveries to human interventions and clinical trials. We seek outstanding investigators who will provide scientific leadership in the development and application of computational approaches and modeling to understand the complex interaction between tumors, the immune system, tumor spatial ecotypes and microenvironments, and targeted therapeutic interventions. The successful candidates will lead efforts to integrate and interpret multimodal datasets, including single cell and spatial multi-omics, immune repertoire profiling, functional genomics screens, imaging, proteomics, clinical and longitudinal patient data. The overarching goal is to identify and generate actionable insights that accelerate the development of effective cancer immunotherapies. Successful applicants will house their program at one of the three Mayo Clinic Destination Medical Center Sites in Rochester, Minnesota; Jacksonville, Florida; or Phoenix and Scottsdale, AZ, but have the opportunity to work across the Mayo Clinic enterprise.

Requirements

• Qualified candidates must hold a doctoral degree (M.D., M.D./Ph.D., Ph.D., Sc.D., or equivalent) in Immunology, Cancer Biology, Computational Biology, Pathology or related field.
• Advanced expertise in immune receptor (TCR/BCR) repertoire sequencing and analysis (bulk and/or single-cell), with strong complementary experience in single-cell genomics and multi-omics integration.
• Experience collaborating across basic, translational, and clinical research teams.
• Experience applying AI tools to immunology, oncology or genetic engineering questions.
• The ability to develop innovative computational approaches that generate biologically and clinically meaningful insights.

Nice To Haves

• Track record of peer-reviewed publications and external funding (e.g., NIH, industry, foundations) preferred

Responsibilities

• Lead computational immunology and single-cell analytics initiatives across basic science, translational research, and clinical programs.
• Develop and implement computational research workflows (including virtual/digital models) to ensure reproducibility, scalability, and best practices in analysis of cancer cell: immune cell interaction and tissue microenvironments.
• Define scientific strategies related to immune receptor (TCR/BCR) repertoire sequencing and analysis (bulk and single-cell), including clonotype definition, repertoire diversity, and clonal expansion/dynamics, and integration with single-cell RNA-seq, multi-omics, and machine learning to link clonality with cellular state and patient outcomes.
• Serve as a senior scientific advisor to translational programs, biotechnology collaborations, and startup partnerships.
• Sustain an independent, externally funded research program in computational immunology or cancer immunology.
• Translate computational discoveries into clinically meaningful insights, biomarkers, and therapeutic strategies.
• Lead the design, development, and dissemination of computational tools and open-source software for immune profiling and single-cell analysis.
• Oversee analytical pipelines for immune receptor repertoire analysis, including V(D)J annotation, clonotype assignment, repertoire diversity metrics, clonal tracking across time/tissue, and (for BCR) somatic hypermutation and lineage/phylogeny, alongside trajectory inference and multi-omic modeling.
• Partners with Mayo Clinic and Mayo Clinic Comprehensive Cancer Center investigators and industry collaborators who translate these discoveries to human interventions and clinical trials.
• Support interpretation of immune profiling data from clinical trials, patient cohorts, and experimental models.
• Contribute to interdisciplinary grant applications and consortia.
• Provide scientific leadership in computational immunology, that accelerates discovery and translation into clinically meaningful insights, biomarkers, and therapeutics strategies.

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: Principal
• Education Level: Ph.D. or professional degree