Medical Economics Intern (Undergraduate - Summer 2027)
Posted Oct 5, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about something you built or analyzed using AI tools. What did you learn about their limits?
What they are checking: Whether their curiosity about AI comes with healthy skepticism about accuracy.
Tell me about a time you had to learn a new tool quickly to finish a project.
What they are checking: Whether they can pick up Power BI or new data sources fast in a remote internship.
This internship is fully remote. How do you stay connected and productive?
What they are checking: Whether they communicate proactively and manage their own time without in-person oversight.
What would you do
What would a provider want to see on a dashboard about their member panel?
What they are checking: Whether they think from the user's point of view, such as care gaps and high-risk members, not just available fields.
An AI tool gives a provider a confident but wrong answer from the dashboard. How would you approach fixing that?
What they are checking: Whether they think about root causes like missing definitions or bad data rather than blaming the tool.
How would you present a finding to stakeholders who are short on time?
What they are checking: Whether they lead with the takeaway and keep detail available for those who want it.
About the work
This project creates a context layer for an AI-enabled Power BI dashboard. What do you think a context layer needs to include?
What they are checking: Whether they understand that AI needs clear definitions and business rules to answer questions about data correctly.
How would you write SQL to prepare a member panel dataset for a provider?
What they are checking: Whether they can shape data around a real user, here a provider managing members.
How do you check that a dashboard is showing accurate numbers?
What they are checking: Whether they validate outputs against source data instead of trusting what renders on screen.
What do you know about protected health information, and how does it affect how you handle data?
What they are checking: Whether they understand privacy rules apply to the member data they will work with.
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As published by Centene.