
Nonprofit medical center
Postdoctoral Research Fellow - Lab Medicine and Pathology at Mayo Clinic
About the role
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:
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Design and document reproducible cohort selection logic using EHR and lab data (inclusion/exclusion, phenotyping rules, data definitions)
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Perform and/or oversee high-quality chart review and structured data abstraction, with rigorous QC and documentation
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Support WSI workflows (case/slide organization, metadata linkage, review logging) and coordinate linkage to spatial biology results
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Contribute to a research-ready multimodal dataset (data dictionary elements, variable provenance, harmonization notes, QC checklists)
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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)
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Mastery of python coding, including but not limited, machine learning training using pytorch, and mastery of bioinformatics analysis tools.
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Cohort identification/selection; protocol-driven eligibility screening
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Chart review and clinical variable abstraction; creation of clean research tables and tracking logs
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Whole-slide image organization and review support (as project-appropriate)
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Literature management (End Note) and contribution to study documentation
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Participation in lab meetings and project updates; completion of an Individual Development Plan (IDP)
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Manuscript/abstract preparation and submission support; encouraged to pursue extramural funding opportunities
Qualifications
Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.
Preferred qualifications
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Experience with digital pathology / WSI, image metadata organization, or computational pathology workflows
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Experience with or strong interest in clinical data (EHR/labs), translational research, or pathology-related research
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Proficiency with Excel, Word, and End Note.
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Mastery of Python coding (data cleaning, analysis pipelines, automation)
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Prior publications and experience in team-based research
Exemption Status
Exempt
Compensation Detail
$71,992.20 - $84,220.50 / year; Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
- Monday
- Friday, normal business hours
Weekend Schedule
N/A
International Assignment
No
Site Description
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.
Recruiter
Kara Schott
Required skills
Machine learning
Biomedical research
Data integration
EHR data analysis
Pathology imaging
Reproducible workflows
Cohort design
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About Mayo Clinic

Mayo Clinic
PublicMayo Clinic Health System is a system of community-based medical facilities. It is owned by Mayo Clinic and was founded in 1992. The organization focuses on providing medical care in rural communities in Minnesota, Iowa, and Wisconsin.
10,001+
Employees
Rochester
Headquarters
Reviews
10 reviews
4.2
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
4.4
Career
3.1
Management
4.3
78%
Recommend to a friend
Pros
Supportive management and leadership
Strong team culture and teamwork
Excellent health benefits and retirement plans
Cons
High workload and stress during peak times
Long and unpredictable work hours
Limited advancement opportunities
Salary Ranges
38 data points
Junior/L3
Junior/L3 · ASSOCIATE DATA SCIENCE ANALYST
2 reports
$111
total per year
Base
$85,085
Stock
-
Bonus
-
$102
$111
Interview experience
2 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
100%
Interview process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Offer
Common questions
Technical Knowledge
Behavioral/STAR
Past Experience
System Design
Culture Fit
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