Artificial Intelligence Scientist

The Division of Informatics in the Department of Radiology at Mayo Clinic in Rochester, MN invites applications for an Artificial Intelligence Scientist position within our clinical AI team. The Department of Radiology has established a robust ecosystem supporting the discovery, development, translation, and clinical application of artificial intelligence. As this program evolves from early discovery toward broader clinical deployment, we are expanding the scientific and operational capabilities required to translate promising AI technologies into reliable, scalable, and sustainable clinical practice. The successful candidate will contribute to the full lifecycle of clinical artificial intelligence solutions, working at the intersection of artificial intelligence, engineering, and healthcare operations to help ensure that AI technologies are intentionally integrated into clinical workflows.

Key Responsibilities

• Clinical Translation & Implementation Science: Develop and apply rigorous approaches for translating AI technologies into clinical practice. Evaluate where and how AI should be incorporated into clinical workflows, how human and AI capabilities should interact, and what implementation strategies are required to achieve adoption. Help move successful technologies beyond pilots toward scalable and sustainable clinical use.
• AI Product Release & Postproduction Monitoring: Support deployment and ongoing oversight of AI solutions in clinical production environments. Partner with technical and clinical teams to identify performance degradation and establish appropriate remediation and escalation processes.
• Scientific & Technical Leadership: Apply scientific rigor to the evaluation and implementation of AI technologies. Contribute to the development of methods, standards, frameworks, and best practices for responsible clinical AI deployment.
• Multidisciplinary Collaboration: Work effectively across organizational boundaries and multidisciplinary teams. Collaborate with data scientists, software engineers, informaticians, physicians, clinical staff, operational leaders, researchers, and external partners.
• Communication & Research: Communicate complex technical concepts clearly to both technical and nontechnical audiences. Opportunities may include peer-reviewed research, development of novel evaluation methodologies, presentations, intellectual property, and collaboration on externally funded research.

This position is limited tenure, with anticipation of annual renewal. The successful candidate will have opportunities for professional growth and, depending on organizational needs and performance, potential transition to an ongoing position within Mayo Clinic.

• Education: A doctoral degree (Ph.D., M.D., or equivalent) in a relevant scientific, engineering, computational, or quantitative field such as computer science, engineering, data science, biomedical informatics, operations research, applied mathematics, or a related discipline.
• Technical Proficiency: Demonstrated proficiency in artificial intelligence, machine learning, data analysis, scientific computing, or related technical methods.
• Core Skills: Excellent communication skills and a demonstrated ability to lead work across organizational boundaries.

Preferred Qualifications & Experience

• Experience Level: 3+ years of post-terminal degree experience.
• Environment Experience: Experience working within healthcare, medical imaging, biomedical informatics, clinical workflows, or other safety-critical and highly regulated environments.
• Technology Translation: Demonstrated experience translating advanced technologies from prototype or research settings into complex, real-world operational environments.
• Evidence of Innovation & Impact: A proven track record of professional impact, which may include:
  • Successful AI, analytics, or advanced technology deployments in operational settings.
  • Product development, translational research, patents, or technical leadership.
  • Demonstrated improvements in clinical or operational outcomes.
  • Peer-reviewed publications or an established publication record in artificial intelligence, biomedical informatics, healthcare engineering, implementation science, or related fields (valued but not explicitly required).