Validation Quality Engineer

Weil GroupDorado, PR

About The Position

We are looking for a Validation Quality Engineer to support multiple new line development projects by executing Tool Qualifications (TQFs), Operational Qualification (OQ), Performance Qualification (PQ), Test Method Validation (TMV), and In-Process Monitoring (IPM) by leveraging automated tools and site-level expertise.

Requirements

  • Bachelor’s degree in Engineering, Life Sciences, or related field
  • 3+ years of experience in Validation (OQ/PQ/TMV/IPM)
  • 3+ years of experience in Quality Engineering
  • Strong understanding of Validation lifecycle and documentation
  • Strong understanding of Regulated environments (FDA, ISO, GMP)
  • Experience with Data analysis tools (Excel – advanced)
  • Experience with Document management systems (e.g., Windchill preferred)
  • Strong analytical and problem-solving skills
  • High attention to detail and data integrity
  • Ability to apply technical judgment in ambiguous scenarios
  • Effective communication and escalation skills
  • Ability to work independently in a fast-paced, high-priority environment

Nice To Haves

  • Experience with Windchill

Responsibilities

  • Execute and/or approve: OQ (Operational Qualification), PQ (Performance Qualification), TMV (Test Method Validation), IPM (In-Process Monitoring)
  • Apply technical judgment to confirm applicability of validation documentation and risk documentation, and identify discrepancies such as missing, conflicting, or outdated records.
  • Ensure alignment with current procedures, Global validation standards, and remediation expectations and timelines.
  • Validate multiple processes as needed/applicable following site practices and documentation.
  • Cross-check validation records against MVPs (Master Validation Plans), PRAs (Product Risk Assessments), and supporting validation documentation.
  • Identify and quantify products requiring remediation across OQ, PQ, TMV, and IPM.
  • Highlight high-risk, complex, or ambiguous scenarios requiring deeper analysis.
  • Proactively identify data gaps, inconsistencies, and tool limitations.
  • Escalate risks, uncertainties, or blockers to the core team in a timely manner.
  • Provide clear documentation of findings and recommended actions.
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