Postdoctoral Research Fellow - Lab Medicine and Pathology

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 outputs, including abstracts/manuscripts and, where appropriate, pilot analyses that support downstream ML modeling and mechanistic hypotheses

Expected outcomes include a documented dataset module or milestone (e.g., a validated cohort + curated feature set + linked image/spatial metadata), and progress toward peer-reviewed publication during the appointment with mentorship support. 

Key responsibilities (research + scholarly development)

• Mastery of python coding, including but not limited, machine learning training using pytorch, and mastery of bioinformatics analysis tools.

• Cohort identification/selection; protocol-driven eligibility screening

• Chart review and clinical variable abstraction; creation of clean research tables and tracking logs

• Whole-slide image organization and review support (as project-appropriate)

• Literature management (EndNote) and contribution to study documentation

• Participation in lab meetings and project updates; completion of an Individual Development Plan (IDP)

• Manuscript/abstract preparation and submission support; encouraged to pursue extramural funding opportunities

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

Preferred qualifications

• Experience with digital pathology / WSI, image metadata organization, or computational pathology workflows

• Experience with or strong interest in clinical data (EHR/labs), translational research, or pathology-related research

• Proficiency with Excel, Word, and EndNote.

• Mastery of Python coding (data cleaning, analysis pipelines, automation)

• Prior publications and experience in team-based research

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.