Faculty Position: Computational and Digital Biology / Immunology Investigators

Mayo Clinic • Phoenix, AZ

42d • Hybrid

About The Position

The Mayo Clinic and Mayo Clinic Comprehensive Cancer Center (MCCCC) are seeking open-rank faculty members with strong leadership potential in Computational and Digital Biology and Immunology. The positions are focused on translating cutting-edge cancer research into clinical impact. MCCCC has established a significant research hub with a strong artificial intelligence (AI) program for virtual cell and organ modeling, digital twins, and AI-based discovery, alongside a robust computational sciences program. The goal is to transform cancer patient care through target discovery, innovative therapeutic strategies, and next-generation immunotherapies, with a proven history of translating discoveries into clinical trials. Successful candidates will lead efforts to integrate and interpret multimodal datasets, including single-cell and spatial multi-omics, immune repertoire profiling, functional genomics, imaging, proteomics, and clinical patient data. The aim is to generate actionable insights that accelerate the development of diagnostics, monitoring tools, and therapies, particularly immunotherapies. The positions can be located at Mayo Clinic's campuses in Rochester, Minnesota; Jacksonville, Florida; or Phoenix and Scottsdale, Arizona, with opportunities to collaborate across the Mayo Clinic enterprise.

Requirements

• 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 and digital biology initiatives, including immunology and single-cell analytics as well as spatial analytic 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 complex multi-cellular 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 and other digital biology and correlative science 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: Entry Level
• Education Level: Ph.D. or professional degree