Data Integrity & CSV Specialist (Onsite, Life Sciences)

ZP Group

Raritan (NJ)

On-site

USD 90,000 - 130,000

Full time

9 days ago
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Job summary

ZP Group is seeking a Data Integrity / CSV Specialist for our Titusville, NJ site. This onsite role focuses on Data Integrity, CSV, risk assessments, and data process flow mapping to support quality and compliance initiatives through 2027.

The candidate will collaborate with site teams to assess systems, walk through laboratory environments, and drive remediation activities with strong Data Integrity expertise.

Qualifications

  • Experience with Data Integrity and CSV in GMP environments.
  • Knowledge of 21 CFR Part 11 and data integrity principles.
  • EU GMP Annex 11 knowledge and practical application.
  • Ability to perform data flow mapping, risk and gap assessments.
  • Strong documentation practices and ALCOA+ adherence.
  • Onsite collaboration with cross-functional teams.
  • Excellent communication with QA, IT, and engineering.

Responsibilities

  • Support Data Integrity assessments across lab, quality, IT, and site functions.
  • Lead Data Process Flow Mapping initiatives.
  • Perform Data Integrity gap and risk assessments for computerized systems.
  • Conduct onsite reviews to identify data integrity risks and remediation opportunities.
  • Provide CSV and Data Integrity guidance during system implementations.
  • Assist audits and inspections as Data Integrity SME.
  • Stay current with CSV and Data Integrity regulations and best practices.

Skills

Data Integrity
CSV
Risk assessments
Data Flow Mapping
GMP compliance
21 CFR Part 11
ALCOA+
Documentation practices
cross-functional collaboration
Data Quality Reviews

Education

Bachelor’s or Master’s degree in science/engineering/computer science

Tools

Job description

ZP Group is seeking a Data Integrity / CSV Specialist for our Titusville, NJ site. This onsite role focuses on Data Integrity, CSV, risk assessments, and data process flow mapping to support quality and compliance initiatives through 2027.

The candidate will collaborate with site teams to assess systems, walk through laboratory environments, and drive remediation activities with strong Data Integrity expertise.

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