Research Tech Intermediate

Responsibilities

• Manage day-to-day data collection operations, including recruiting, screening, and enrolling study participants.
• Conduct in-person lab visits, welcome calls, and oversee participant blood draw appointments.
• Supervise and train a team of student research assistants on study protocols, biomonitor use, and ethical guidelines.
• Assist with data quality checks and maintain study management software to ensure accurate participant data.
• Provide scientific support through literature reviews, measure scans, and the preparation of figures and tables.
• Co-author manuscripts and guidance documents related to the social environment.

Requirements

• Bachelor's Degree and 1-2 years of related experience.
• Minimum of 1 year of active data collection experience.
• Experience in managing participant interactions and scheduling.
• Documented experience conducting literature reviews from search to preparation.
• Proficiency with Google Workspace, Microsoft Office, and Zoom.
• Excellent oral and written communication skills.
• Ability to work variable hours, including nights and weekends (at least 50% of effort may fall outside standard working hours).

Preferred Qualifications

• Bachelor's Degree in a relevant field such as epidemiology, psychology, or sociology.
• Experience with manuscript and report preparation within a team setting.
• Familiarity with research methodologies and survey administration.
• Experience with WordPress for website management.

Benefits

• Generous time off.
• Retirement plan with two-for-one matching contributions upon eligibility.
• Comprehensive health insurance options.
• Life insurance and long-term disability coverage.
• Flexible spending accounts for healthcare and dependent care.

About the Company

The Landscapes of Population Health program is part of the Survey Research Center at the University of Michigan's Institute for Social Research. We are an interdisciplinary team of social-behavioral scientists specializing in the intersection of American society, population health, and data science to understand the social drivers of health.