Digital Pathology AI Specialist / Computational Pathology Scientist

Mayo Clinic • Scottsdale, AZ

4d

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.

Requirements

• PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging.
• Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.
• Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.
• Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.
• Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.
• Excellent communication skills for team leadership, education, and stakeholder engagement.

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.

Benefits

• This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources.
• Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees