Faculty Position: Computational Immunology Scientist

About the Role

Mayo Clinic and Mayo Clinic Comprehensive Cancer Center invite applications for open-rank faculty positions in Computational Immunology. These roles focus on translating cutting-edge cancer research into clinical impact within a world-class research hub. The successful candidates will lead efforts in computational approaches and modeling to understand tumor-immune system interactions, tumor spatial ecotypes, microenvironments, and targeted therapeutic interventions.

The position offers the opportunity to work across Mayo Clinic’s three main sites in Rochester, Minnesota; Jacksonville, Florida; or Phoenix and Scottsdale, Arizona, while collaborating across the entire Mayo Clinic enterprise.

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 analyzing cancer cell: immune cell interactions and tissue microenvironments.
• Define scientific strategies for immune receptor (TCR/BCR) repertoire sequencing and analysis (bulk and single-cell), including clonotype definition, repertoire diversity, clonal expansion/dynamics, and integration with single-cell RNA-seq, multi-omics, and machine learning.
• 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, somatic hypermutation, lineage/phylogeny, trajectory inference, and multi-omic modeling.
• Partner with Mayo Clinic and Mayo Clinic Comprehensive Cancer Center investigators and industry collaborators to translate discoveries into 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.

Research Environment

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

• 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 strong AI-driven discovery program with exceptional on-premises and cloud-based computational resources.
• Mayo Clinic Platform, which holds digitized longitudinal patient records from 15 million Mayo Clinic patients and 54 million patients from collaborating institutions.
• A 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 attracting partner companies to accelerate translation of discoveries.

About Mayo Clinic Comprehensive Cancer Center

With 440 members and over 1,500 aligned cancer physicians, Mayo Clinic Comprehensive Cancer Center (MCCCC) is a global leader in cancer care, research, and education. MCCCC treats over 150,000 unique patients annually across its three sites. Its mission is to inspire hope and promote health and healing through integrated research, clinical practice, and education, centered on the primary value: the needs of the patient come first.

MCCCC’s vision is to be a global cancer authority, transforming cancer research and practice to ensure discoveries, knowledge, and expertise are accessible to all. Key goals include:

• Curing cancers through translation of innovative transdisciplinary science into new means of prevention, early detection, interception, intervention, and care delivery.
• Transforming cancer research and practice using digital technologies, AI, and intelligent automation to create new models for community and patient engagement.
• Engaging patients and communities in cancer research and decentralized clinical trials through Mayo Clinic Platform.
• Educating, training, and mentoring the next generation of cancer physicians, scientists, and leaders.

MCCCC has achieved exceptional performance metrics, including $61.2 million in annual peer-reviewed funding ($41.1 million from NCI) and $98.7 million in industry and non-peer-reviewed funding. The Center holds over 80 multi-investigator programmatic grants, including 6 NCI Specialized Programs of Research Emphasis (SPORES) in Myeloma, Ovarian Cancer, Breast Cancer, Liver/Hepatobiliary Cancers, Prostate Cancer, and Sarcoma. In 2025, MCCCC reported robust clinical trial accrual, with 2,624 therapeutic interventional trial accruals (12% of newly registered cases) and 10,367 non-interventional accruals. Members published 1,776 peer-reviewed works, 24% of which appeared in high-impact journals.

Why Choose Mayo Clinic?

• 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.

Qualifications

• Doctoral degree (M.D., M.D./Ph.D., Ph.D., Sc.D., or equivalent) in Immunology, Cancer Biology, Computational Biology, Pathology, or a 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.
• Track record of peer-reviewed publications and external funding (e.g., NIH, industry, foundations) preferred.
• 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, scholarly achievement, leadership experience, and funding.

Benefits

• Exceptional benefits, including retirement and pension programs.

Schedule

Full-time, 80 hours per pay period.