Digital Pathology AI Specialist / Computational Pathology Scientist
About The Position
Mayo Clinic Arizona seeks an outstanding scientist for the position of Senior Associate Consultant in Digital Pathology AI / Computational Pathology. This dedicated leadership role focuses on shaping the development, validation, and deployment of machine-learning and AI tools for histopathology images and integrated clinical datasets. You will lead end-to-end AI initiatives - from problem framing, data curation, multimodal data acquisition, modeling, rigorous evaluation, regulatory considerations, and clinical integration, while collaborating closely with a team of pathologists already engaged in digital pathology work within the department, as well as enterprise informatics, IT teams, computational experts, and clinicians to develop secure, reliable MLOps pipelines. This pivotal position directly advances DLMP Arizona's digital pathology program by providing essential in-house AI expertise, fully aligning with Mayo Clinic's enterprise-wide Digital Pathology strategic vision. This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo’s pathology services. You will champion Mayo's three shields of clinical practice, research, and education by: Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology). Developing AI-assisted tools and educational platforms for pathology trainees and faculty. Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories. Join a growing, innovative team in Arizona dedicated to transforming pathology through AI, advancing capabilities equitably across Mayo sites, and delivering profound impact for patients, researchers, and educators.
Responsibilities
- Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology).
- Developing AI-assisted tools and educational platforms for pathology trainees and faculty.
- Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
