Faculty Career Scientist Position in ENT Focused AI Research

Mayo Clinic • Rochester, MN

11h • $117,250 - $367,500 • Onsite

About The Position

Mayo Clinic's Department of Otolaryngology-Head and Neck Surgery invites applications for a Career Scientist position in Rochester, Minnesota. This tenure-track-equivalent position is intended for a Ph.D. investigator from a broad range of computational, quantitative, engineering, and data-enabled disciplines to develop and lead an independent, externally funded research program focused on biomedical data science, computational biology, artificial intelligence, machine learning, or related quantitative disciplines applied to cancer and surgical care. The successful candidate will join a highly collaborative, disease-focused translational research environment with direct integration across basic discovery, artificial intelligence, clinical investigation, population science, and high-volume surgical practice in head and neck oncology. The investigator's work should leverage advanced computational and analytical approaches to interrogate complex, multimodal datasets and generate clinically actionable insights that inform diagnosis, prognosis, treatment selection, therapeutic development, and surgical decision-making. This recruitment is intentionally aligned with Mayo Clinic's Research Strategic Transformation priorities and Bold. Forward. vision. The successful candidate will be expected to help translate Mayo's unique clinical, molecular, imaging, pathology, biospecimen, outcomes, and real-world data resources into new knowledge, validated tools, and implementation-ready approaches that accelerate discovery and improve care for patients with head and neck diseases and cancer. A distinguishing opportunity for this position is the ability to leverage Mayo Clinic Platform and related enterprise capabilities to advance discovery, validation, and implementation. Mayo Clinic Platform provides a growing ecosystem for real-world data, analytic tools, data science workspaces, and digital solution development that can support research, innovation, and care transformation. The candidate will be positioned to work with department, AI, informatics, quantitative sciences, and Platform partners to develop scalable, reusable approaches for data-enabled discovery. The successful investigator may use Mayo Clinic Platform-enabled resources to support cohort discovery, multimodal phenotyping, model development and validation, real-world evidence generation, clinical trial feasibility, digital biomarker development, and translation of predictive models into clinical and operational workflows. This work should be grounded in responsible AI principles, including methodological rigor, transparency, data governance, bias mitigation, reproducibility, and close partnership with clinicians who understand the patient and surgical context.

Requirements

• Ph.D. or equivalent degree in biomedical data science, computational biology, biostatistics, bioinformatics, computer science, quantitative medicine, engineering, applied mathematics, or a related quantitative discipline.
• Demonstrated scientific productivity.
• Clear potential for sustained independent extramural funding.
• Commitment to collaborative translational research in cancer, surgery, and data-enabled clinical discovery.
• Relevant expertise may include artificial intelligence and machine learning, multimodal data integration, real-world data, digital pathology, imaging analytics, multi-omics, predictive modeling, clinical decision support, digital biomarker development, or other computational and quantitative approaches.
• Experience working in interdisciplinary research teams.
• Experience translating discoveries into clinically meaningful applications.

Nice To Haves

• Prior research experience in head and neck oncology, otolaryngology, cancer, or surgical care is preferred but not required.
• Candidates whose previous work has focused on other disease areas or clinical domains are encouraged to apply and should describe how they would translate their expertise into a collaborative research program in head and neck disease and cancer.

Responsibilities

• Develop and apply artificial intelligence, machine learning, generative AI, computer vision, natural language processing, multimodal foundation models, multi-omic integration, digital pathology, radiomics, predictive modeling, and advanced statistical learning approaches.
• Create clinically meaningful tools and analytical frameworks that support diagnosis, prognosis, risk stratification, treatment response modeling, surgical planning, longitudinal surveillance, and clinical trial development.
• Advance AI-enabled surgical practice by using multimodal data from clinical encounters, imaging, pathology, operative workflows, surgical outcomes, biospecimens, genomics, and electronic health records to improve decision-making and patient outcomes.
• Partner closely with surgeon-scientists, clinician investigators, leaders, data scientists, biostatisticians, AI and informatics experts, and Mayo Clinic Platform teams to design rigorous translational studies and scalable analytic workflows.
• Develop and sustain a portfolio of extramural funding as principal investigator while contributing to large-scale team science, programmatic funding, industry collaborations, and cross-disciplinary initiatives.
• Produce high-impact publications, mentor trainees and junior faculty, contribute to national scientific committees and collaborative networks, and provide educational leadership within Mayo Clinic and the broader scientific community.

Benefits

• Highly competitive compensation package
• Substantial long-term institutional and departmental support for salary, personnel, equipment, and travel
• Competitive startup package designed to support immediate and continued success
• Intramural funding opportunities for research and innovation
• Outstanding, comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree