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.
