Research Data Manager practice interview
Designing research data flows, validating datasets, controlling access and maintaining traceable records from collection to archive. Practise the 6 questions interviewers ask for this role with follow-ups. Paid plans add scored feedback on every answer.
Free with an Intaviu account: 320 credits a month, at 10 credits a minute of practice. Private: interview creators never see them.
- Mid level
- 20 minutes
- 6 questions
- Scored feedback on paid plans
About the role
This interview covers the full research data lifecycle rather than analysis alone. The panel wants a manager who can design practical data flows, detect and document quality issues, protect sensitive records and give researchers stable, traceable datasets.
How to prepare
- Draw a data flow from collection through cleaning, analysis release and archive for a study you know well.
- Prepare examples of validation rules and explain which errors they catch and which require human review.
- Revise de-identification, data minimisation, access control, secure transfer and breach escalation.
- Practise explaining how identifiers, database constraints, version control and audit trails work together.
- Choose an example where feedback from a researcher or field team improved a data process.
Common mistakes
- Cleaning values silently instead of preserving the source and documenting each change.
- Granting broad access for convenience rather than matching access to a defined need.
- Relying on spreadsheet colour or memory to track dataset versions.
- Building validation rules without involving the people who understand the protocol.
What to expect
A real first-round interview
6 questions the way interviewers ask for this role, with follow-ups when an answer needs more.
Spoken, like the real thing
Speak your answers in your browser or the free desktop app, with live captions. You can ask the interviewer to repeat anything.
Scored on 5 areas
The things this interview weighs most. With a paid plan, your report shows how you did on each one.
A private report
On Plus, Pro and Premium: every answer scored, your strongest lines quoted and what to say differently next time. Interview creators never see it.
More data and ai practice
Research Data Manager (Clinical Trials)
Clinical database design, edit checks, query management, controlled changes, reconciliation and readiness for database lock.
Data and AIProClinical Data Manager
Clinical database design, validation rules, query management, reconciliation, privacy and readiness for database lock.
Data and AIResearch Data Analyst (Entry Level)
Cleaning research datasets, selecting suitable analyses, producing clear visualisations and communicating limitations.