Faculty Position: Computational Immunology Scientist

Mayo Clinic • Phoenix, AZ

1d • Onsite

About The Position

The Mayo Clinic and Mayo Clinic Comprehensive Cancer Center are seeking applications for open-rank faculty positions in Computational Immunology. These roles require 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 established a world-class research hub with a strong artificial intelligence (AI) program focused on virtual cell and organ modeling, digital twins, and AI-based discovery, alongside a robust on-premises and cloud-based computational sciences program dedicated to transforming cancer patient care. MCCCC has a proven track record in translating discoveries into human interventions and clinical trials. We are looking for outstanding investigators to lead the development and application of computational approaches and modeling to understand the complex interactions between tumors, the immune system, tumor spatial ecotypes and microenvironments, and targeted therapeutic interventions. Successful candidates will integrate and interpret multimodal datasets, including single-cell and spatial multi-omics, immune repertoire profiling, functional genomics screens, imaging, proteomics, and clinical/longitudinal patient data. The primary objective is to identify actionable insights that accelerate the development of effective cancer immunotherapies. The positions are based at one of the three Mayo Clinic Destination Medical Center Sites: Rochester, Minnesota; Jacksonville, Florida; or Phoenix and Scottsdale, AZ, with opportunities to collaborate across the Mayo Clinic enterprise.

Requirements

• Strong leadership potential
• Commitment to translating cutting-edge cancer research into clinical impact
• Ability to 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.
• Experience integrating and interpreting multimodal datasets, including single cell and spatial multi-omics, immune repertoire profiling, functional genomics screens, imaging, proteomics, clinical and longitudinal patient data.
• Ability to identify and generate actionable insights that accelerate the development of effective cancer immunotherapies.
• Experience in computational immunology or cancer immunology.
• Ability to sustain an independent, externally funded research program.

Nice To Haves

• Strong leadership potential

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.
• Partner 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.
• Integrate 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.

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: Senior
• Education Level: No Education Listed