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Quality Engineer – Manufacturing & Supplier Focus

Thermo Fisher Scientific · Jiangsu

Mid 🇬🇧 English
8D 5 Why SPC PFMEA MSA CAPA Power BI Minitab AI copilots digital quality tools data analytics

Job description

About the role

The Quality Engineer will ensure stable product quality across manufacturing, supplier, and customer interfaces. You will work closely with Manufacturing, Engineering, Suppliers, and Customers to support business growth during capacity expansion.

Key responsibilities

  • Monitor and improve manufacturing process quality, drive FPY improvement and variation reduction.
  • Conduct process and product audits, support implementation of quality control plans and PFMEA actions.
  • Investigate customer complaints, lead CAPA activities, and analyse warranty and field‑quality data.
  • Manage incoming quality, drive supplier quality improvements, and participate in supplier audits and qualifications.
  • Collect and analyse quality data, identify recurring issues, and collaborate with Engineering and Operations to enhance product performance.
  • Utilise AI and digital tools to increase analysis efficiency, develop digital quality dashboards, and apply data analytics for trend identification.

Required profile

  • Bachelor's degree in Engineering or a related discipline.
  • 3+ years of experience in Quality Engineering, Manufacturing Engineering, or Supplier Quality.
  • Experience in medical devices, laboratory equipment, refrigeration, HVAC, compressors, or related industries is preferred.
  • Familiarity with quality tools such as 8D, 5 Why, SPC, PFMEA, MSA and CAPA.
  • Strong communication and cross‑functional collaboration skills.
  • Experience with Power BI, Minitab, AI copilots or other digital quality tools is a plus.

Required skills

  • 8D
  • 5 Why
  • Statistical Process Control (SPC)
  • Process Failure Mode Effects Analysis (PFMEA)
  • Measurement System Analysis (MSA)
  • Corrective and Preventive Action (CAPA)
  • Power BI
  • Minitab
  • AI copilots / digital quality tools
  • Data analytics

Questions fréquentes

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Published 1个月前

Expires 2周后

49 views · 0 interested

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Thermo Fisher Scientific

Jiangsu