AI & I Data Analytics Research Fellow – Radiation Oncology
About The Position
The AI and Data Analytics (AIDA) team within Mayo Clinic’s Department of Radiation Oncology is hiring a Research Fellow to advance AI applications in cancer care. AIDA is a fast-moving team that builds and deploys AI tools directly into clinical workflows. Its tools are in active clinical use, supporting clinicians across multiple specialties. This role offers the opportunity to conduct foundational research and translate it into systems that are deployed, evaluated, and refined in real clinical environments. Areas of work include models to personalize cancer treatment, analysis of longitudinal clinical data, and tools that streamline physician workflows.
Requirements
- PhD in Computer Science, Machine Learning, Biomedical Informatics, Engineering, Physics, Applied Math, Statistics, or a related field.
- Strong background in modern machine learning, such as deep learning, transformers, or related methods.
- Strong experience with Python and machine learning ecosystems such as PyTorch, JAX, or scikit-learn.
- Strong communication skills, including the ability to write and present complex ideas clearly.
- Self-motivated and execution-focused, with comfort owning ambiguous problems.
Responsibilities
- Develop, implement, and evaluate machine learning models in real clinical settings, with success measured by adoption, usability, and clinical impact.
- Contribute to end-to-end AI tools integrated into clinical workflows, including predictive modeling, documentation automation, and decision support.
- Design and execute novel research projects with physicians, physicists, data scientists, and engineers.
- Help translate ideas from concept through prototype and deployment into real-world use in healthcare.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
