Clinical Data Manager Interview Questions

1.1The CDM role in clinical research - ensuring clinical trial data is accurate, complete, and regulatory compliant

1.2Clinical trials context - the phases, the regulatory framework, and how CDM fits in the development process

1.3ICH E6 GCP - the guideline that governs clinical data management and why it matters

1.4CDM in different settings - sponsor, CRO, and site-based clinical data management

2.1eCRF design - designing electronic case report forms that capture data accurately and efficiently

2.2Database build and validation - building the clinical database and validating it before first patient in

2.3Edit checks - programming data validation checks that flag inconsistencies in real time

2.4Coding and reference libraries - MedDRA, WHO Drug, and coding adverse events and medications

3.1Remote data entry - how sites enter data and the CDM oversight role

3.2Source data verification and source data review - checking data accuracy against source documents

3.3Data entry reconciliation - managing discrepancies between different data sources

3.4Paper CRF management - when paper is still used, the CDM process for manual data handling

4.1Query management - generating, tracking, and resolving data queries with study sites

4.2Programmatic data cleaning - running edit checks and managing the query backlog

4.3Manual data review - the CDM processes for reviewing data beyond automated checks

4.4Database lock preparation - the activities required before database lock in a clinical trial

5.1Database lock process - the steps, the approvals, and the CDM responsibilities

5.2Data freeze and lock - the procedures that ensure data cannot be changed after lock

5.3Statistical analysis datasets - transferring clean data to biostatistics in the agreed format

5.4Archive and long-term storage - the CDM obligations for trial data retention

6.121 CFR Part 11 and EU Annex 11 - the regulations governing electronic records and signatures

6.2GCP compliance in CDM - audit trails, system validation, and regulatory inspection readiness

6.3GDPR in clinical trials - patient data, consent, and managing personal data in research

6.4Regulatory submission support - the CDM contribution to NDA, BLA, and MAA submissions

7.1CDISC standards - CDASH, SDTM, and ADaM and why they matter for clinical data

7.2Implementing CDISC in a study - how CDMs apply standards from protocol to dataset

7.3Study documentation - the data management plan, the database specification, and the CDM files

7.4Controlled terminology - CDISC CT and how standards ensure consistent data capture

8.1Risk-based monitoring - the ICH E6 R2 approach and how CDMs support central monitoring

8.2Central statistical monitoring - the data analytics approach to identifying site and data quality issues

8.3Key risk indicators for CDM - the metrics that reveal data quality problems early

8.4Remote data review - how CDMs review data centrally without visiting sites

9.1Electronic data capture systems - common EDC platforms and how CDMs work within them

9.2Clinical data management systems - the CDMS and how it integrates with the EDC

9.3Data warehousing and integration - how clinical trial data flows between systems

9.4Emerging technology in CDM - AI, automation, and how the function is changing

10.1Technical questions - GCP, CDISC, database design, query management, and database lock

10.2Regulatory questions - 21 CFR Part 11, audit readiness, and managing regulatory inspections

10.3Scenario questions - handling a critical data discrepancy, a site data quality issue, or a database lock delay

10.4Salary negotiation, evaluating a CDM role, and questions that reveal the regulatory environment, systems, and career development opportunities