Faculty Career Scientist Position in ENT Focused AI Research

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.

Mayo Clinic Platform and Data-Enabled Discovery
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 work spaces, 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.

Research Focus and Expectations
The successful candidate will be an emerging or established leader in biomedical data science with demonstrated expertise in one or more computational, quantitative, or data-enabled disciplines and a record of applying rigorous methods to complex biomedical, healthcare, or research datasets.. Depending on the candidate’s expertise and research program, relevant approaches may include: high-dimensional clinical, molecular, imaging, pathology, surgical, biospecimen-linked, and outcomes data to drive discovery in head and neck cancer and otolaryngology, with an emphasis on translation to clinically meaningful applications.
• 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.
•…