Faculty Position Computational Immunology Investigators

This position may be located in Rochester MN Jacksonville FL or Phoenix/Scottsdale AZ

Position Description
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.

Strategic Role and Leadership Expectations
The Computational Immunology Investigators will:

• 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.

The successful candidates will provide scientific leadership in computational immunology that accelerates discovery and translation into clinically meaningful insights biomarkers and therapeutics strategies.

Research Environment

Mayo Clinic and Mayo Clinic Comprehensive Cancer Center offer a highly collaborative and integrated academic medical center environment with expanding strengths in computational biology AI-driven discovery cell therapy cancer immunotherapy regenerative medicine and translational science. Faculty benefit from:

• Established CAR-T and immune 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 and advanced imaging
• A very strong AI-driven discovery program with exceptional on prem and cloud-based computational resources
• Mayo Clinic Platform which holds the fully digitized longitudinal patient records from 15M Mayo Clinic patients and 54M patients with collaborating healthcare institutions from across the nation and the globe
• A strong focus on translating first-in-human trials to bring new treatments to patients
• Dedicated institutional support for regulatory strategy clinical trial development and commercialization pathways
• A growing biotechnology corridor that attracts partner companies to accelerate translation of discoveries

The successful candidate will be a key driver in integrating advanced genome engineering technologies into existing and emerging cell therapy platforms enabling novel approaches to immune cell engineering stem cell modification in vivo gene editing strategies and precision genome correction programs.

Why Mayo Clinic Comprehensive Cancer Center

With 440 members and >1500 aligned cancer physicians working in six Cancer Research Programs and 15 Disease Groups 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 150000 unique patients from across the nation and the globe.

The MCCCC Misson: 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:

1. To cure cancers through translation of innovative transdisciplinary science to new means of prevention early detection interception intervention and unparalleled care delivery.
2. 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.
3. To use Mayo Clinic Platform to engage patients and communities in our catchment areas and across the nation and the world in cancer research and distributed and decentralized clinical trials.
4. To educate train and mentor the next generation of cancer physicians scientists and leaders.

Over the past year MCCCC has continued to achieve exceptional performance metrics with high levels of cancer research funding (reporting $61.2M in annual peer-reviewed funding ($41.1M from NCI) and $98.7M in industry and non-peer reviewed funding). The Center currently has over 80 multi-investigator programmatic grants including 6 NCI Specialized Programs of Research Emphasis (SPORES): Myeloma Ovarian Cancer Breast Cancer Liver/Hepatobiliary Cancers Prostate Cancer and 2025 clinical trial accrual has remained robust reporting the Centers highest accrual to therapeutic interventional trials: 2624 (12% of newly registered cases) with 6588 interventional accruals (30% of newly registered patients) and 10367 non-interventional 2025 MCCCC members published an exceptional number (1776) of peer-reviewed academic works 24% of which were published in high impact journals.

Why Choose Mayo Clinic

Mayo Clinic is a premier integrated academic medical center consistently ranked among the top hospitals in the nation. All campuses are experiencing strategic growth in cancer immunotherapy drug discovery & development regenerative medicine and translational discovery science.

We offer:

• 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

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.

Candidates should demonstrate:

• 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.
• Track record of peer-reviewed publications and external funding (e.g. NIH industry foundations) preferred
• The ability to develop innovative computational approaches that generate biologically and clinically meaningful insights.

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