Okay, I've searched for full-time research coordinator roles in Ann Arbor, MI, requiring 1-2 years of data collection experience, a bachelor's degree, skills in participant management, and medical insurance benefits. I have found 34 relevant positions for you.

Sure. Here's the analysis:

Job Analysis:

The Research Tech Intermediate role fundamentally centers on the meticulous coordination and execution of data collection operations within a complex population health study. The primary responsibility is to ensure smooth daily operations — from recruiting and enrolling participants, managing lab visits and blood draws, to data quality assurance — all while maintaining strict compliance with ethical standards and IRB protocols. The collaboration with the Study Coordinator and efficient management of a student research assistant team underscore a supervisory and mentoring dimension, emphasizing leadership alongside hands-on operational work. Success in this role hinges on juggling multiple, often unpredictable schedules, fostering clear participant communication, and troubleshooting data and logistic challenges. Technical proficiencies in study-specific software, data validation, and participant management tools are essential to maintain data integrity and flow. Moreover, interpersonal expertise is critical, as the candidate must harmonize the efforts of a diverse research team and nurture participant trust and engagement. Problem-solving will regularly involve addressing recruitment barriers, adapting to participant needs, and resolving team workflow issues. Within the first year, thriving means delivering reliable, high-quality data aligned with study timelines, supporting team competence, and contributing to research outputs through ancillary tasks like literature reviews and content updates, all embedded in a mission-driven academic environment.

Company Analysis:

The University of Michigan, specifically the Institute for Social Research, embodies a prestigious academic and research institution driven by a mission to serve both local and global communities through innovative knowledge creation and dissemination. Positioned as a leading figure in social and behavioral research, the university’s environments are intellectually rigorous yet supportive, blending tradition with cutting-edge methodologies. The role’s housing within the Landscapes of Population Health program signals a forward-looking, interdisciplinary approach—melding historical perspectives with social sciences and data science. The institution values collaboration, respect, and authentic engagement, which suggests the workplace culture balances structure with openness, encouraging continuous learning and contribution beyond narrow job descriptions. For this role, the organizational context appears to be team-based yet structured with clear lines to leadership (e.g., Study Coordinator and principal investigators), offering the candidate visibility and potential influence within a defined research agenda. The strategic importance of the position lies in sustaining and scaling data collection operations critical to impactful studies in population health, thus directly supporting the university’s broader goal of advancing public knowledge and societal well-being. As the position is term-limited but potentially renewable, adaptability and demonstrated impact will be crucial to longevity and advancement, making cultural fit and proactive engagement equally important as technical skills.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to manage conflicting schedules across multiple team members and participants. How did you ensure the project stayed on track?
• Behavioral: Describe an experience where you had to onboard and mentor new team members quickly. What strategies did you use to ensure they ramped up efficiently?
• Behavioral: Can you share a situation where you encountered a challenging or reluctant study participant? How did you handle their concerns and maintain study compliance?
• Behavioral: Give an example of a time when you had to troubleshoot data quality issues. What steps did you take to identify and resolve the problem?
• Technical: How would you approach training new research assistants on the use of biomonitoring devices and managing participant lab visits?
• Technical: What methods do you use to maintain data accuracy and integrity during participant screening and data entry?
• Technical: Describe your experience with research management software or databases. How do you ensure participant information is up to date and compliant with IRB standards?
• Technical: How would you coordinate blood draw appointments and other in-person visits to maximize participant retention and data completeness?
• Situational: Imagine a participant withdraws consent midway through the data collection process. What steps would you take to ensure ethical compliance and data handling?
• Situational: Suppose your team is falling behind the data collection schedule due to low recruitment rates. How would you address this challenge?
• Situational: You notice inconsistent communication among your student research assistants leading to errors in data recording. How do you intervene to correct this?
• Company Fit: Why are you interested in contributing your skills to the University of Michigan’s Institute for Social Research and specifically the Landscapes of Population Health program?
• Company Fit: How do your personal values and work style align with the University of Michigan’s mission to serve both local and global communities?
• Company Fit: This role sometimes requires flexible hours, including evenings and weekends. How do you manage work-life balance in such scenarios?
• Questions for Interviewer: How does the study team measure success beyond meeting recruitment and data collection targets?
• Questions for Interviewer: What opportunities for professional development and further involvement exist for someone in this role?
• Questions for Interviewer: Can you describe the typical collaboration and communication flow between the Research Tech Intermediate and the principal investigators or other senior researchers?