Senior CSV Engineer

Responsibilities

• Lead and execute computer system validation (CSV) activities for GxP-regulated systems.
• Develop and review validation deliverables including validation plans, URS, FS, DS, risk assessments, IQ/OQ/PQ protocols, and summary reports.
• Ensure compliance with FDA 21 CFR Part 11, EU Annex 11, GAMP 5, and GxP regulations.
• Define and implement risk-based validation strategies for computerized systems.
• Oversee validation of systems such as LIMS, ELN, MES, ERP, CDS, and laboratory systems.
• Support system implementations, upgrades, and decommissioning activities from a validation perspective.
• Collaborate with IT, QA, Engineering, and business stakeholders to ensure compliant system deployment.
• Lead change control assessments and determine validation impact of system changes.
• Ensure data integrity (ALCOA+) compliance across validated systems.
• Support audits and regulatory inspections by providing validation documentation and system justification.
• Mentor and guide junior CSV engineers and validation team members.
• Drive continuous improvement of validation processes, templates, and standards.
• Review vendor documentation and ensure systems meet regulatory expectations prior to deployment.

Requirements

• Bachelor's degree in Engineering, Computer Science, Life Sciences, or related field.
• 5+ years of experience in Computer System Validation (CSV) or validation engineering.
• Strong experience in GxP-regulated pharmaceutical, biotech, or medical device environments.
• Hands-on experience with validation of LIMS, MES, ERP, or laboratory systems.
• Strong knowledge of 21 CFR Part 11, EU Annex 11, and GAMP 5 guidelines.
• Experience authoring and executing IQ/OQ/PQ protocols and validation documentation.
• Strong understanding of risk-based validation and data integrity principles.
• Experience supporting regulatory audits and inspections.

Preferred Skills

• Experience with systems such as LabWare, SAP, Oracle, Veeva, TrackWise, Empower.
• Knowledge of cloud-based validation and SaaS systems.
• Experience in data integrity remediation projects.
• Strong technical writing and documentation skills.
• Ability to lead cross-functional validation projects.

Key Competencies

• Strong leadership and SME-level expertise in CSV.
• Excellent analytical and risk assessment skills.
• Strong communication and stakeholder management.
• Ability to manage multiple validation projects simultaneously.
• High attention to detail and regulatory compliance mindset.