AI & Data Analytics Research Fellow-Radiation Oncology

Mayo Career Site UK; Rochester (MN); Presencial; USD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Mayo Clinic's AI and Data Analytics (AIDA) team within Radiation Oncology is hiring a Research Fellow to advance the next generation of AI in cancer care. You will join a unique institution where Mayo Clinic treats over 1.4 million patients annually and AI tools are deployed directly into clinical workflows.

Here you’ll work on projects spanning personalized cancer treatment, longitudinal data insights, and physician workflow automation, translating research into practice with real-world impact.

Responsabilidades

• Deploy impactful AI in real clinical settings, measuring adoption, usability, and clinical impact.
• Work on end-to-end AI tools that integrate into clinical workflows from predictive modeling to decision support.
• Lead ambitious research projects in collaboration with physicians, physicists, data scientists, and engineers.
• Translate ideas from concept to prototype to deployment, validating in real-world healthcare environments.

Descripción del empleo

The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology at Mayo Clinic is hiring a Research Fellow to help advance the next generation of AI in cancer care: https://radonc-aida.github.io ).

We’re looking for an exceptional researcher that is technically strong, intellectually curious, and motivated by real-world impact.

You’ll join a uniquely positioned institution. Mayo Clinic treats over 1.4 million patients annually and is consistently ranked among the most trusted names in medicine. Within this environment, AIDA operates as a fast-moving, high-impact team building and deploying AI tools directly into clinical workflows.

Over the past year, our tools have moved beyond prototypes into active clinical use, supporting hundreds of clinicians across multiple specialties. Several have been recognized at institutional and national forums, reflecting both their technical innovation and measurable impact on care delivery. This is a rare opportunity to work on AI systems that are not only published, but used, evaluated, and iterated on in real clinical environments.

Whether it’s building models to personalize cancer treatment, extracting insights from longitudinal clinical data, or deploying tools that streamline physician workflows, your work will span both foundational research and real-world translation.

We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter to patients, to clinicians, and to the future of healthcare.

What You’ll Do

• Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success is measured not just by publications, but by adoption, usability, and clinical impact.
• Work on end-to-end systems: Contribute to AI tools that integrate into clinical workflows ranging from predictive modeling to automation of documentation and decision support.
• Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of physicians, physicists, data scientists, and engineers.
• Translate research into practice: Help move ideas from concept to prototype to deployment to real-world use, learning what actually works in healthcare.