RTP Research Fellow – Digital Pathology

Company: Mayo Clinic
Location: Rochester
Posted on: November 4, 2025

Job Description:

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 The Mayo Clinic Digital Pathology (MCDP) is seeking a Digital Pathology Research Fellow to help advance the next generation of pathology practice.We are seeking an exceptional pathology-trained fellow who blends clinical expertise, enthusiasm for AI, and scientific curiosity with a desire for real-world impact. Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types.This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models that span pathology practice.At Mayo Clinic, you will have access not only to pathology slide data, but the full spectrum of multimodal and longitudinal clinical data needed to develop personalized diagnostic or predictive AI tools.As a member of the MCDP team, you will contribute to foundational research in digital pathology and real-world translation. Your work will help to bring cutting edge innovations into clinical practice and build the foundations of the next wave of innovation in pathology. We are seeking candidates that could be successful in many environments, including top-tier academic pathology departments and leading technology companies, but who choose this work because of its potential for real and lasting impact on patients and the future of healthcare. What You’ll Do • Assist in the development of impactful software tools and AI: Work with AI scienists and programmers to utilize your expertise in morphologic interpretation and pathology reporting to develop, implement, and evaluate vision and multimodal transformers and task-specific pathology models. • Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of AI scientists, data scientists and engineers and pathologists • Drive growth and visibility: Help shape the direction and culture of MCDP as a new and expanding team. You’ll play a key role in our success through your pathology expertise, publications, and strategic promotion of our work. Qualifications • M.D. or D.V.M. with residency training experience in Anatomic Pathology • Strong morphologic skills and understanding of pathology reporting standards • Familiarity with deep learning technologies (e.g., CNNs, transformers) • Experience with Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.). • Skilled in writing and able to communicate complex scientific ideas clearly and compellingly. • Self-motivated, execution-focused, and intellectually independent. • Goal-oriented. • Comfortable working with real-world, messy, heterogeneous healthcare data. • A team player who thrives as a member of a highly functional cross-disciplinary team Preferred Elements • B.S, M.S., and/or PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field. • Formal training in Clinical Informatics, Bioinformatics, or a related field • Prior experience with AI in healthcare settings. • Prior experience with digital pathology.

Keywords: Mayo Clinic, Rochester , RTP Research Fellow – Digital Pathology, Healthcare , Rochester, Minnesota