• Contract
  • Valais
  • Recruiter: Christoph Bally

The Life Science Career Network 

CTC are specialized industry experts who can help companies source the best talent and provide reliable HR and consulting services, support varied candidates in finding promising career opportunities and offer the latest in skill development training programmes.

For our client, a leading Swiss CMO, we are looking for a

CQV Lead (5521)

in a contractor position for initially 6 months, extension possible, onsite in the Valais in Switzerland. In this role you will support assigned project as CQV-Lead, manage CQV Engineers and define and assign needed CQV staff. You will also interact with PM / Engineering / QA and generate and plan the CQV timelines with PM.

Qualification:

  • Technical degree (bachelor) in engineering or applied science, post graduate qualification preferred.
  • 10+ years in Commissioning, Qualification and Validation incl. CSV with strong experience in management of complex pharmaceutical projects. Familiarity with biologics (mammalian, CGT) and chemical manufacturing technologies desirable.
  • Significant experience in regulated pharmaceutical industry and/or engineering company with proven experience on planning CQV activities, leading large senior reports and high understanding and management of KPIs.
  • Strong knowledge of ISPE and ASTM guidelines with proven experience on large and complex projects. Proven management experience in an EMA / FDA regulated environmental with very good knowledge of current ICH, PIC/S, EU and US regulatory requirements and their implementation.
  • Experience in People Management (internal and external) with respect to organizational aspects, coaching and development.
  • Proven excellent communication and interaction skills

Knowledge and Skills

  • Solid collaboration and influencing skills and the ability to work together with teams and individuals in a highly matrix environment.
  • Excellent command of English
  • Strong analytical skills. Ability to conduct in-depth analysis of complex/large data sets, draw conclusions accordingly, and prepare and support decisions.
  • Experience at working both independently and in a team-oriented environment.
  • Ability to effectively prioritize and execute tasks in a fast-paced environment.
  • Strong written and oral communication skills.
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