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CSV Engineer

Somerset, NJ, US • Posted 1 day ago • Updated 7 hours ago

Full Time

On-site

Fitment

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Job Details

Skills

FOCUS
IQ
OQ
PQ
Enterprise Resource Planning
Reporting
Collaboration
Quality Assurance
Business Data
Regulatory Compliance
Change Control
Documentation
Risk Assessment
Traceability Matrix
Computer Science
Computerized System Validation
Pharmaceutics
Life Sciences
Test Scripts
Master Data Management
SAP
Data Lake
Interfaces
Snow Flake Schema
Artificial Intelligence
GxP
Data Integrity
Management

Summary

Summary:
IT 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91116760
Position Id: 6cd6c615f5b3abf552fbf7733bc72abc
Posted 1 day ago

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