Reviewer

Reviewer Interview Questions and Answers

Updated 12 Jul 2025

Asked in Lupin

1d ago

Q. What are the guidelines for OOS investigation?

Ans.

The guidelines for OOS investigation involve thorough documentation, root cause analysis, and corrective actions.

  • Thoroughly document all relevant information related to the OOS (Out of Specification) event.

  • Perform a comprehensive root cause analysis to identify the underlying reasons for the OOS.

  • Implement appropriate corrective actions to prevent recurrence of the OOS.

  • Follow established regulatory guidelines and industry best practices during the investigation.

  • Ensure proper c...read more

Asked in Lupin

2d ago

Q. What measures do you suggest for human error reduction?

Ans.

Measures to reduce human error

  • Provide adequate training and education

  • Implement standard operating procedures

  • Use checklists and reminders

  • Encourage reporting of errors

  • Conduct regular audits and reviews

Asked in Lupin

2d ago

Q. What are the categories of laboratory incidents and how should they be handled?

Ans.

Laboratory incidences can be categorized as pre-analytical, analytical, and post-analytical. Each category requires a different approach to deal with them.

  • Pre-analytical incidents include sample collection errors, mislabeling, and transportation issues. To deal with them, proper training of staff, use of standardized protocols, and regular quality control checks are necessary.

  • Analytical incidents involve errors in testing procedures, equipment malfunction, and calibration iss...read more

Asked in Lupin

1d ago

Q. What are the Data Integrity guidelines?

Ans.

Data Integrity guidelines ensure accuracy, completeness, consistency, and reliability of data throughout its lifecycle.

  • Data should be recorded contemporaneously and accurately.

  • Data should be attributable, legible, and original.

  • Data should be complete, consistent, and enduring.

  • Data should be secure, backed up, and retrievable.

  • Data should be reviewed, approved, and audited regularly.

  • Examples include ALCOA+ principles, 21 CFR Part 11, and GAMP 5.

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