Hybrid IT Validation Analyst - GxP CSV/CSA Expert

Legend Biotech EU

Maine

On-site

USD 68,000 - 89,000

Full time

13 days ago
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Job summary

Legend Biotech is seeking an IT Validation Analyst for the R&D Systems team in Somerset, NJ. The role supports validation of GxP-regulated computerized systems, ensuring compliance throughout their lifecycle. Collaboration with IT, QA, and vendors is essential.

The candidate will author validation deliverables, perform risk-based assessments, and manage validation testing using VLMS/EDMS/QMS systems, with AI in validation considered a plus.

Qualifications

  • 1–3 years of hands-on CSV experience in biotech/pharma.
  • CSA knowledge and AI in validation a plus.
  • Knowledge of GxP regulations (FDA 21 CFR Part 11, EU Annex 11) and data integrity impact.
  • Experience using VLMS for validation activities.
  • Experience in authoring validation deliverables (plans, specs, test scripts, reports).

Responsibilities

  • Execute and support CSV and CSA activities for GxP-regulated systems.
  • Author and maintain validation documentation (plans, URS, risk assessments, test scripts, traceability matrices).
  • Coordinate validation testing, document results, and resolve issues.
  • Maintain validation docs using VLMS, EDMS, and QMS systems; support audits.
  • Provide guidance to system owners and project teams on validation requirements.

Skills

CSV validation
CSA validation
AI in validation
GxP compliance
Risk-based methodologies
VLMS/EDMS familiarity
QMS familiarity
Communication skills

Education

Bachelor’s degree in Life Science/IT/Engineering

Tools

ValGenesis
Veeva Quality Vault
VLMS
EDMS
QMS

Job description

Legend Biotech is seeking an IT Validation Analyst for the R&D Systems team in Somerset, NJ. The role supports validation of GxP-regulated computerized systems, ensuring compliance throughout their lifecycle. Collaboration with IT, QA, and vendors is essential.

The candidate will author validation deliverables, perform risk-based assessments, and manage validation testing using VLMS/EDMS/QMS systems, with AI in validation considered a plus.

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