Scottsdale, AZ30+ days ago
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. You will champion Mayos 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).