Mayo Clinic
Research Fellow - AI & Data Analytics (AIDA), Radiation Oncology
Mayo Clinic, Rochester, Minnesota, United States, 55901
Research Fellow Opportunity At Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans
to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology is hiring a Research Fellow to help advance the next generation of AI in cancer care. We're seeking an exceptional researcher
technically outstanding, intellectually curious, and motivated by real-world impact. You'll 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, high-quality cancer treatment data and strong institutional support for innovation. Whether it's building models to personalize radiation therapy or discovering new insights from multi-modal clinical data, your work will span both foundational research and real-world translation. You'll help bring cutting-edge AI tools into the clinic and shape how technology improves outcomes for cancer patients. We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter
to patients, to clinicians, and to the future of healthcare. What You'll Do: Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success will be measured by present-day 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. You'll 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, scikit-learn, etc.). Skilled in writing and passionate about presenting scientific ideas clearly and compellingly. 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. 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, open-source contributions. Exemption Status: Exempt Compensation Detail: $68,564 - $80,210 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible: Yes Schedule: Full Time Hours/Pay Period: 80 International Assignment: No Site Description: Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Equal Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter: Kara Schott
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans
to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. The AI and Data Analytics (AIDA) team within the Department of Radiation Oncology is hiring a Research Fellow to help advance the next generation of AI in cancer care. We're seeking an exceptional researcher
technically outstanding, intellectually curious, and motivated by real-world impact. You'll 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, high-quality cancer treatment data and strong institutional support for innovation. Whether it's building models to personalize radiation therapy or discovering new insights from multi-modal clinical data, your work will span both foundational research and real-world translation. You'll help bring cutting-edge AI tools into the clinic and shape how technology improves outcomes for cancer patients. We are looking for someone who could thrive in top-tier tech companies or academia but chooses to work here because you want your work to matter
to patients, to clinicians, and to the future of healthcare. What You'll Do: Deploy impactful AI: Develop, implement, and evaluate machine learning models in real clinical settings. Success will be measured by present-day 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. You'll 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, scikit-learn, etc.). Skilled in writing and passionate about presenting scientific ideas clearly and compellingly. 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. 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, open-source contributions. Exemption Status: Exempt Compensation Detail: $68,564 - $80,210 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended. Benefits Eligible: Yes Schedule: Full Time Hours/Pay Period: 80 International Assignment: No Site Description: Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Equal Opportunity: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law". Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Recruiter: Kara Schott