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CSV & C&Q Lead

Job in 4040, Basel, Kanton Basel-Landschaft, Switzerland
Listing for: Panda International
Full Time position
Listed on 2026-10-17
Job specializations:
  • Quality Assurance - QA/QC
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 120000 - 160000 CHF Yearly CHF 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Now hiring: E2E CSV/C&Q Lead | Operations Data Hub

Basel, Switzerland | 12-month contract (1 Nov 2026 - 31 Oct 2027) | Full-time, 41 hrs/week

I’m partnering with a leading life sciences manufacturer on a lead role at the center of their digital manufacturing program.

Their Operations Data Hub (ODH) connects manufacturing source systems, OT/IT integrations, platform services, data products and operational applications. They need someone to own the end-to-end validation approach that gets it ready to support GMP-relevant decision-making.

What you’ll do:

  • Build and own the integrated, risk-based CSV/C&Q strategy for ODH Phase 1
  • Coordinate validation delivery for the first “lighthouse” site deployment, through to release readiness
  • Define the qualification approach for data products like Batch Traceability, Process Monitoring and Customer Data Sharing
  • Ensure end-to-end traceability, data integrity and ALCOA+ compliance across the connected ISA-95 layers
  • Shape the supplier assurance and vendor-testing reliance strategy
  • Create a reusable validation blueprint, qualification archetypes and effort/cost model for future site rollouts
  • Align Business, IT/OT, Automation, Engineering, Quality and external partners around one validation framework

What you bring:

  • Bachelor’s or Master’s in Engineering, Automation, Computer Science, IT, Life Sciences, Pharmaceutical Sciences, Quality Management or similar
  • Proven experience developing and coordinating E2E CSV/C&Q strategies for integrated systems spanning IT, OT, data platforms and applications
  • Strong knowledge of risk-based validation, GMP, CSV/CSA, C&Q, change control, deviations and CAPA
  • Broad understanding of automation, MES, historians, integration platforms and their validation implications
  • Practical data integrity experience: data lineage, interfaces, auditability and access controls
  • A pragmatic mindset, keeping things compliant and defensible without unnecessary documentation or duplicated testing

Why this one stands out: you won’t just validate a system. You’ll set the validation standard that future sites and growth projects are built on.

#CSV #CQV #Computer System Validation  #Data Integrity #GMP #Validation #Life Sciences #Basel #Switzerland #Contract #Hiring

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