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資深品保主管
Ver: 107
Día de actualización: 05-11-2024
Ubicación: Xindian District New Taipei City
Categoría: Seguro de Calidad / Control de Calidad
Industria:
Posición: Mid-Senior level
Tipo de empleo: Full-time
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Contenido de trabajo
- Provide quality engineering support in the manufacturing of medical devices
- Ensure compliance of manufacturing processes and areas to all applicable quality system regulations
- Handling with CAPA, deviations, and customer complaints, and drive continuous improvement through analysis of trend data.
- Monitor and analyze production information to support risk management and to provide direction for corrective and preventive actions and/or process improvement activities.
- Work with manufacturing engineering to ensure necessary process controls and validations are in place and best practices are followed (GMP)
- Oversee the inspection & testing of raw materials, components & finished products to ensure compliance with specifications & quality standards. Establish and maintain quality control procedures, including inspection methods and test protocols.
- Resolve incoming inspection yield issues by driving tighter vendor process capabilities, ensuring appropriate internal drawing specifications, and validation of inspection methods.
- Support internal auditing requirements in manufacturing to ensure compliance with quality system requirements.
- Minimum of 5 years’ experience in a Manufacturing Quality and/or Manufacturing Engineering role, with 3 years’ responsibility for Product Quality and/or Quality Systems.
- English working proficiency.
- Ability to communicate ideas and information clearly, effectively, and concisely.
- Working knowledge of Medical Device Regulations: ISO 13485 as well other applicable regulations and industry standards pertaining to Medical Devices.
- Familiar with process validation and test method validation.
- Experience with formal problem-solving methodologies and deductive skills, root cause analysis & CAPA.
- Practical knowledge and experience using Minitab or other statistical analysis tools such as Cpk/Ppk analysis, ANOVA and design of experiment.
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Plazo: 20-12-2024
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