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.
Benefits Highlights
Medical: Multiple plan options.Dental: Delta Dental or reimbursement account for flexible coverage.Vision: Affordable plan with national network.Pre-Tax Savings: HSA and FSAs for eligible expenses.Retirement: Competitive retirement package to secure your future.
Responsibilities
Responsibilities
We are hiring a Research Associate to work on a project funded by the Mayo Clinic Cancer Center to develop multimodal deep learning models to predict cancer recurrence. We are seeking an exceptional researcher, technically outstanding, intellectually curious, and motivated by real-world impact. You will collaborate with AI scientists and clinicians from across Mayo Clinic, but will be embedded within the Radiation Oncology AI & Data Analytics team led by Dr. Andrew Foong (https://andrewfoongyk.github.io)
You will 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. 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 academic AI labs 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
• Create impactful AI: Develop, implement, evaluate and deploy deep learning models in a real clinical setting.
• Conduct ambitious research: Push the frontiers of AI for cancer treatment in collaboration with a multidisciplinary team of computer scientists, clinicians, and software engineers.
Qualifications
Ph.D. 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).
• Strong Python and ML ecosystem skills (e.g., PyTorch, JAX, scikit-learn, etc.).
• 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.
Exemption Status
Exempt
Compensation Detail
$92,242 - $107,910 / 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. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
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