Research Assistant — Flexible Hours & Data/Qualitative Support

Mayo Foundation for Medical Education and Research; Rochester (MN); Hybrid; USD 25,000 - 34,000; Part time

Job summary

Mayo Clinic in Rochester, MN is seeking a part-time research support professional to assist AI-related health services projects. The role emphasizes confidentiality, data quality, and accurate documentation while supporting literature reviews, data organization, surveys, and interview scheduling.

Responsibilities include assisting with data entry, coding, project tracking, and coordination with clinicians and participants under supervision. Flexibility to adapt to changing workload is important.

Qualifications

• Requires a high school diploma or GED. Coursework in health sciences, public health, psychology, social sciences, data science, biomedical informatics, communication, or related fields is preferred.
• Visa sponsorship is not available for this position. Must be U.S. citizen, permanent resident, refugee or asylee.

Responsibilities

• Performs various support functions for health services and AI research projects using proper procedures to maintain confidentiality, data quality, and accurate documentation.
• Assists with literature searches, data organization, data entry, qualitative coding or annotation, spreadsheet/database maintenance, preparation of study materials, and project tracking.
• May assist with participant, clinician and patient outreach, consent-related study procedures, survey administration, interview scheduling, and qualitative interview support, as appropriate and under supervision.
• May assist with reviewing clinical communication data, organizing research outputs, supporting manuscript or presentation preparation, and conducting quality checks.

Skills

Attention to detail

Communication skills

Organizational skills

Multi-tasking

Education

High school diploma or GED

Tools

Excel

REDCap

Job description

Mayo Clinic in Rochester, MN is seeking a part-time research support professional to assist AI-related health services projects. The role emphasizes confidentiality, data quality, and accurate documentation while supporting literature reviews, data organization, surveys, and interview scheduling.

Responsibilities include assisting with data entry, coding, project tracking, and coordination with clinicians and participants under supervision. Flexibility to adapt to changing workload is important.