Research Fellow: Computational Pathology and AI

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.

• 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.

Do you want to apply your expertise in AI to solve research questions with direct impact on clinical practice, patient care, and the future of medicine?

We are seeking a Postdoctoral Research Fellow to join our multidisciplinary team in the Division of Computational Pathology and Informatics at Mayo Clinic. Our group is developing cutting‑edge AI methods to unlock the wealth of information embedded within gigapixel‑scale pathology images. With more than 200 million slides already digitized, Mayo Clinic offers one of the largest and most advanced pathology datasets in the world.

This position is part of Mayo Clinic’s bold, forward, and unbounded strategy, supported by major initiatives from the Comprehensive Cancer Center. You will collaborate with a large, diverse team of experts across the Departments of Artificial Intelligence, Quantitative Health Sciences, Oncology, Surgery, and more—all united to tackle some of the most urgent challenges in cancer treatment.

In this role, you will:

• Develop and apply advanced AI models to extract insights from digital pathology images.
• Integrate pathology data with other modalities—including surgical notes, laboratory testing, and medical imaging—to create multi‑modal models for cancer care.
• Contribute to projects that aim to improve patient management and treatment decision‑making, with the potential to advance into clinical trials and real‑world clinical applications.
• Communicate and present your research to team members, stakeholders, and at national and international conferences.

A Research Fellow in Engineering (ENG) is based on role and responsibilities requiring Engineering skills regardless of Ph.D. background. Main skills used in this track may include setting up mechanical research equipment, developing experimental protocols, biomechanics development in orthopedics, implementing protocols, and/or providing engineering technical expertise and analysis. Responsibilities (depending upon area of research) may also involve use of x‑ray computed tomography (CT), radiation dosimetry, x‑ray physics, and proficiency in Matlab and/or C++ programs.

May work in a special engineering group, process and test algorithms, informatics, data for computer programming, and implement algorithms to apply to concepts, research, and clinical applications and devices.

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.

• PhD in Computer Science, Biomedical Engineering, or a related field.
• Strong research experience in advanced AI modeling for computer vision and/or natural language processing.
• Proficiency in Python and deep learning frameworks such as Tensor Flow or PyTorch.
• Experience with cloud computing and/or high‑performance computing (HPC) is a plus.
• Excellent communication skills to effectively share research ideas, present findings, and collaborate with diverse teams.

This is an exceptional opportunity…