Negotiable
Undetermined
Remote
Remote
Summary: The Computer Systems Validation Engineer role focuses on ensuring compliance and validation of computer systems within the Pharma/Biopharma industry. The position requires extensive experience in Computer Systems Validation (CSV) and familiarity with various validation tools and methodologies. The role is remote, allowing for flexibility in work arrangements while contributing to critical validation processes. Candidates should possess a strong background in engineering or life sciences.
Key Responsibilities:
- Conduct Computer Systems Validation (CSV) for Pharma/Biopharma systems.
- Validate laboratory systems and interfaces, ensuring compliance with industry standards.
- Author Validation Plans, URS, OQ, PQ, VSR, and Traceability Matrix documentation.
- Utilize validation tools such as HP ALM, Kneat, TrackWise, and Veeva.
- Manage data integrity, interface validation, regression testing, and defect/deviation management.
Key Skills:
- 5+ years of Computer Systems Validation (CSV) experience in Pharma/Biopharma.
- Strong hands-on experience with MODA and/or LabWare LIMS.
- Knowledge of GAMP 5, cGMP, 21 CFR Part 11, GxP, and validation lifecycle.
- Experience with validation tools and documentation.
- Bachelor's degree in Engineering, Life Sciences, or related field.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Required Skills (Must Have):
- 5+ years of Computer Systems Validation (CSV) experience in Pharma/Biopharma
- Strong hands-on experience with MODA (highly preferred) and/or LabWare LIMS
- Experience validating LIMS, laboratory systems, or system interfaces
- Strong knowledge of GAMP 5, cGMP, 21 CFR Part 11, GxP, and validation lifecycle
- Experience authoring Validation Plans, URS, OQ, PQ, VSR, Traceability Matrix
- Experience with HP ALM, Kneat, TrackWise, Veeva, or similar validation tools
- Experience with data integrity, interface validation, regression testing, defect/deviation management
- Bachelor's degree in Engineering, Life Sciences, or related field
Preferred:
- MODA implementation/configuration experience
- Growth Direct interface validation
- LabWare experience
- Pharmaceutical Quality Systems background