Research Fellow – AI & Data Analytics (AIDA), Radiation Oncology Position Available In Monroe, New York

Job Description:

Mayo Clinic is top-ranked in more specialties than any othercare provider according to U.S. News & World Report. As we worktogether to put the needs of the patient first, we are alsodedicated to our employees, investing in competitive compensationand comprehensive benefit plans – to take care of you and yourfamily, now and in the future. And with continuing education andadvancement opportunities at every turn, you can build a long,successful career with Mayo Clinic. Benefits Highlights

Medical:

Multiple plan options.

Dental:

Delta Dental or reimbursementaccount for flexible coverage.

Vision:

Affordable plan withnational network.

Pre-Tax Savings:

HSA and FSAs for eligibleexpenses.

Retirement:

Competitive retirement package to secureyour future. Responsibilities The AI and Data Analytics (AIDA) teamwithin the Department of Radiation Oncology is hiring a ResearchFellow to 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 byreal-world impact. You’ll join a uniquely positioned institution:

Mayo Clinic treats over 1.4 million patients annually and is themost trusted name in medicine. The department has access to rich,high-quality cancer treatment data and strong institutional supportfor innovation. Whether it’s building models to personalizeradiation therapy or discovering new insights from multi-modalclinical data, your work will span both foundational research andreal-world translation. Youll help bring cutting-edge AI tools intothe clinic and shape how technology improves outcomes for cancerpatients. We are looking for someone who could thrive in top-tiertech companies or academia but chooses to work here because youwant your work to matter – to patients, to clinicians, and to thefuture of healthcare. What You’ll Do

• Deploy impactful

AI:

Develop, implement, and evaluate machine learning models in realclinical settings. Success will be measured by present-day clinicalimpact.

• Lead ambitious research: Design and execute novelresearch projects in collaboration with a multidisciplinary team ofcomputer scientists, physicians, medical physicists, and softwareengineers.
• Drive growth and visibility: Help shape the directionand culture of AIDA as a new and expanding team. You’ll play a keyrole in securing internal and external funding through compellinggrant proposals and strategic promotion of our work. Qualifications
• PhD in Computer Science, Biomedical Informatics, MachineLearning, Engineering, Physics, Medical Physics, Applied Math,Statistics, or a related field.
• Strong background in deeplearning (e.g., CNNs, transformers) and familiarity with emergingtechniques for reasoning and compositionality with large languagemodels.
• Strong Python and ML ecosystem skills (e.g., PyTorch,JAX, scikit-learn, etc.).
• Skilled in writing and passionate aboutpresenting scientific ideas clearly and compellingly.
• Self-motivated, execution-focused, and intellectually independent.
• Stays goal-oriented over method-oriented, and isn’t afraid ofunglamorous but high-value work when it matters.
• Comfortableworking with real-world, messy, heterogeneous healthcare data.
• Ateam player who thrives in interdisciplinary environments. Bonus IfYou Have
• Prior experience with AI in healthcare settings(clinical data, imaging, EHR).
• Prior experience with radiationoncology.
• Strong software engineering practices (Git, testing,reproducibility).
• Experience writing or contributing tosuccessful grant proposals.
• Demonstrated excellence in research -e.

g., strong publication record, impactful projects, open-sourcecontributions.