Location: Rochester, MN
Cap-Exempt H-1B Position — No lottery required
**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. **Responsibilities** **We are seeking a highly motivated Research Fellow to join a pathologist-led research program focused on machine learning applications and disease-mechanism discovery in steatohepatitis.** The fellow will contribute to building a multimodal research dataset integrating EHR-derived clinical variables, laboratory data, whole-slide pathology images (WSI), and spatial biology outputs, enabling translational and AI/ML studies. This is a mentored scholarly training role intended to develop the professional skills needed for an academic/research career. By the end of the appointment period, the fellow is expected to be able to: - Design and document reproducible cohort selection logic using EHR and lab data (inclusion/exclusion, phenotyping rules, data definitions) - Perform and/or oversee high-quality chart review and structured data abstraction, with rigorous QC and documentation - Support WSI workflows (case/slide organization, metadata linkage, review logging) and coordinate linkage to spatial biology results - Contribute to a research-ready multimodal dataset (data dictionary elements, variable provenance, harmonization notes, QC checklists) - Produce scholarly o