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CSV Engineer

Job in Passaic, Passaic County, New Jersey, 07055, USA
Listing for: Katalyst CRO
Full Time position
Listed on 2026-05-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Security, IT Consultant
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Summary

CSV Validation Engineer is responsible for authoring and executing validation test scripts to support regulated systems within a GxP life sciences environment. This role will focus on validating ERP Master Data Governance processes and Data Lake platforms, ensuring compliance with regulatory requirements and data integrity standards.

Roles & Responsibilities
  • Author, review, and execute validation test scripts (IQ/OQ/PQ) for GxP computerized systems
  • Support validation activities for ERP Master Data Governance processes, ensuring data accuracy, integrity, and compliance
  • Perform validation of Data Lake platforms and associated system interfaces, including data ingestion, transformation, and reporting layers
  • Collaborate with cross-functional teams (IT, QA, Business, Data Engineering) to define validation scope, risk assessments, and acceptance criteria
  • Ensure compliance with GxP, 21 CFR Part 11, and data integrity requirements throughout the system lifecycle
  • Support deviation investigations, CAPAs, and change control activities related to validated systems
  • Maintain validation documentation including Validation Plans, Risk Assessments, Traceability Matrices, and Summary Reports
Education & Experience
  • Bachelor's degree in Computer Science, Engineering, Life Sciences, or related discipline
  • 5+ years of Computer System Validation (CSV) experience in pharmaceutical or life sciences environments
  • Strong experience with test script authoring and execution for GxP systems
  • Experience supporting Master Data Governance processes (SAP experience preferred but not required)
  • Experience validating Data Lake environments and system interfaces (Snowflake experience preferred)
  • Familiarity with AI/advanced data platforms is a plus
  • Experience with validation management tools such as Val Genesis is a plus
  • Strong understanding of GxP, 21 CFR Part 11, and data integrity principles
  • Ability to work independently and manage multiple validation activities with minimal oversight
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