The Mayo Clinic Division of General Internal Medicine is seeking a highly motivated Postdoctoral Fellow to partner directly with the physician leader of our Longevity Research Program. The fellow will oversee ongoing studies and catalyze new, high-impact research focused on disease prevention, metabolic health, and biological aging within the Division of General Internal Medicine. This role is ideal for a scientist-physician or PhD-trained researcher who thrives in translational research, cross-disciplinary collaboration, and rigorous methodology

About the Program

The Longevity Research Program within General Internal Medicine integrates preventive imaging, metabolic phenotyping, aging biomarkers, and genomics to develop actionable, patient-centered models of healthspan extension. We emphasize rigorous methods, data-driven decision-making, and equitable implementation in clinical practice.

Key Responsibilities

• Research Leadership & Oversight
  • Lead day-to-day execution of active projects, including protocol adherence, recruitment, data collection, analysis, and dissemination.
  • Coordinate multi-disciplinary teams (clinical investigators, research coordinators, statisticians, data engineers) to achieve milestones on time and on budget.
• Study Design & Innovation
  • Develop new research proposals aligned with program priorities in longevity science; write protocols, IRB submissions, and grant applications. 
  • Apply cutting-edge methods (e.g., machine learning, multi-omics integration) to address clinically meaningful questions.
• Data Management & Analysis
  • Build and maintain high-quality datasets; ensure data integrity, reproducibility, and compliance with institutional and federal regulations.
  • Collaborate closely with biostatistics and informatics partners.
• Scholarly Output
  • Lead and co-author manuscripts in biomedical journals.
  • Present findings at national/international meetings.
  • Contribute to white papers, clinical practice guidance, and knowledge translation.
• Regulatory & Compliance
  • Prepare and manage IRB submissions, amendments, and continuing reviews.
  • Uphold Good Clinical Practice (GCP), HIPAA, and institutional policies.
• Mentorship & Team Culture
  • Mentor junior trainees (students, residents, research coordinators) in methods and rigor.
  • Foster an inclusive, collaborative environment.

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. Upon background check and CCATS Executive Committee approval, Research Fellow may have patient/research subject contact directly relating to and incidental to the original research program. 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 Epidemiology, Genomics/Computational Biology, Nutrition/Metabolism, Biostatistics, Biochemistry, Physiology, or related field.
• Knowledge of research methods, including study design, protocol writing, IRB processes, and patient consent.
• Demonstrated experience in clinical/translational research with strong methodological grounding.
• Proficiency in statistical programming (e.g., R, Python, SAS) and data management.
• Record of peer-reviewed publications commensurate with training stage.
• Excellent written and verbal communication skills; proven ability to work in multi-disciplinary teams.
• Able to learn new and use new computer programs

Preferred Qualifications

• Experience with imaging research (MRI), advanced biochemical analyses (NMR), aging biomarkers (epigenetic clocks), and/or genomics (PRS).
• Familiarity with machine learning and risk prediction modeling.
• Prior success with grant writing (e.g., NIH F/K series, foundation awards).
• Working knowledge of REDCap and electronic health records (EHR) for cohort development.