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Research Fellow - AI & Data Analytics (AIDA), Radiation Oncology

Mayo Clinic

$68,564 - $80,210
Apr 15, 2025
Rochester, MN, US
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Mayo Clinic is seeking to advance the next generation of AI in cancer care through the development and implementation of machine learning models in real clinical settings.

Requirements

  • Strong background in deep learning (e.g., CNNs, transformers) and familiarity with emerging techniques for reasoning and compositionality with large language models.
  • Strong Python and ML ecosystem skills (e.g., PyTorch, JAX, scikit-learn, etc.).
  • Prior experience with AI in healthcare settings (clinical data, imaging, EHR).
  • Prior experience with radiation oncology.
  • Strong software engineering practices (Git, testing, reproducibility).
  • Experience writing or contributing to successful grant proposals.

Responsibilities

  • Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings.
  • Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of computer scientists, physicians, medical physicists, and software engineers.
  • Drive growth and visibility: Help shape the direction and culture of AIDA as a new and expanding team.

Other

  • PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field.
  • Self-motivated, execution-focused, and intellectually independent.
  • Stays goal-oriented over method-oriented, and isn’t afraid of unglamorous but high-value work when it matters.
  • Comfortable working with real-world, messy, heterogeneous healthcare data.
  • A team player who thrives in interdisciplinary environments.