RTP - Research Fellow - AI and Informatics

Job Description

A Research Fellow opportunity is available under the mentorship of Hao Gong, Ph.D. in the Research Department of AI and Informatics.

A Research Fellow in Engineering in this role will apply advanced computational and engineering skills to the development, implementation, and evaluation of AI / ML algorithms for clinical applications. Responsibilities include processing and analyzing imaging and multimodal clinical data, implementing and testing of computational models, and supporting translational research and clinical deployment within an interdisciplinary environment.

A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals will train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

Qualifications

The Research Fellow will lead the development and validation of advanced AI / ML algorithms to support diagnosis and treatment planning, work closely with clinical collaborators to translate in-house-developed techniques toward clinical adoption, and disseminate significant scientific findings through conference presentations and peer-reviewed publications. Applicants should have a strong background in clinical image processing and analysis, generative modeling, multi-modal learning, experimental design, and statistical evaluation.

Additional domain knowledge in clinical imaging physics or computational biology is considered a plus.

• Ph.D. degree in Computer Science, Electrical and Computer Engineering, Biomedical Engineering, Applied Mathematics, Medical Physics, or a related field.
• Extensive expertise in developing advanced AI / ML methods for clinical imaging tasks, such as disease classification, lesion detection, lesion / tumor segmentation, and biomarker analysis.
• Proven, hands-on experience with generative modeling approaches (e.g., GAN, Diffusion, or LLM).
• Experience of designing or implementing multi-modal frameworks that integrate imaging data with other modalities (e.g., EHRs, genomics, clinical reports).
• Excellent Python programming skills are required, with proficiency in Tensor Flow / PyTorch and modern ML tools.
• (Preferred) Experience with scalable computing, such as multi-GPU training, distributed data processing, and research-oriented MLOps.
• Excellent oral and written English communication skills, along with a solid record of peer-reviewed publications in relevant conferences and academic journals.
• The ability to work independently and collaboratively within a multidisciplinary environment.

About Us

Why 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.

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.

About the Team

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.