Research Fellow - AI Data Analytics AIDA Radiation Oncology
Research Fellow - AI Data Analytics AIDA Radiation Oncology
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Job Description
Responsibilities
The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology is hiring aResearch Fellowto help advance the next generation of AI in cancer care (PI:Dr. Andrew Foong. Were seeking an exceptional researcher technically outstanding intellectually curious and motivated by realworld impact.
Youll join a uniquely positioned institution: Mayo Clinic treats over 1.4 million patients annually and is the most trusted name in medicine. The department has access to rich highquality cancer treatment data and strong institutional support for innovation. Whether its building models to personalize radiation therapy or discovering new insights from multimodal clinical data your work will span both foundational research and realworld translation. Youll help bring cuttingedge AI tools into the clinic and shape how technology improves outcomes for cancer patients.
We are looking for someone who could thrive in toptier tech companies or academia but chooses to work here because you want your work tomatter to patients to clinicians and to the future of healthcare.
What Youll Do
- Deploy impactful AI: Develop implement and evaluate machine learning models in real clinical settings. Success will be measured by presentday clinical impact.
- 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. Youll play a key role in securing internal and external funding through compelling grant proposals and strategic promotion of our work.
Qualifications
- PhD in Computer Science Biomedical Informatics Machine Learning Engineering Physics Medical Physics Applied Math Statistics or a related field.
- 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 scikitlearn etc..
- Skilled in writing and passionate about presenting scientific ideas clearly and compellingly.
- Selfmotivated executionfocused and intellectually independent.
- Stays goaloriented over methodoriented and isnt afraid of unglamorous but highvalue work when it matters.
- Comfortable working with realworld messy heterogeneous healthcare data.
- A team player who thrives in interdisciplinary environments.
Bonus If You Have
- 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.
- Demonstrated excellence in research e.g. strong publication record impactful projects opensource contributions.
Employment Type
Full-Time
