CSV Engineer

Job Summary

We are seeking a Computer System Validation (CSV) Engineer with experience in Computer System Validation (CSV) within a GMP-regulated pharmaceutical or biotechnology environment.

Roles & Responsibilities

• Develop, execute, and maintain Computer System Validation (CSV) documentation and validation protocols for QC laboratory systems and manufacturing systems.
• Support the complete validation lifecycle, including preparation, execution, review, and approval of User Requirements Specifications (URS), Installation Qualification (IQ), Operational Qualification (OQ), Performance Qualification (PQ), Risk Assessments, and Validation Reports.
• Perform risk assessments to identify and mitigate validation and compliance risks.
• Ensure compliance with GAMP 5, 21 CFR Part 11, GMP, and internal quality standards.
• Review validation documentation to ensure accuracy, completeness, and regulatory compliance.
• Collaborate with Quality Assurance (QA), Manufacturing, Engineering, and IT teams to support validation activities and system implementations.
• Provide validation support for QC laboratory systems and manufacturing equipment throughout their lifecycle.
• Assist with change control, deviation investigations, and periodic reviews related to validated systems.
• Maintain accurate validation records and ensure documentation is audit ready.
• Support internal and external regulatory inspections by providing validation documentation and technical expertise.

Requirements / Qualifications

• Bachelor's degree in engineering, Computer Science, Life Sciences, Pharmacy, Biotechnology, or a related field.
• Experience in Computer System Validation (CSV) within a GMP-regulated pharmaceutical or biotechnology environment.
• Strong knowledge of GAMP 5, 21 CFR Part 11, and GMP regulations.
• Hands-on experience supporting QC laboratory systems and/or manufacturing equipment validation.
• Experience developing and reviewing validation lifecycle documentation, including URS, IQ, OQ, PQ, Risk Assessments, and Validation Reports.
• Experience working collaboratively with Quality Assurance (QA), Manufacturing, Engineering, and IT teams.
• Strong understanding of the CSV lifecycle, risk-based validation, and documentation best practices.
• Excellent technical writing, documentation, communication, and problem-solving skills.
• Ability to manage multiple validation activities while maintaining compliance with regulatory and quality requirements.