Quality Engineer III, Manufacturing Engineering

at  Thermo Fisher Scientific

REQUIREMENTS:

• Bachelor / Master degree in a technical field, or a combination of education and experience that demonstrates the required skills.
• 4+ years relevant experience
• Willingness to work in high-tech industry manufacturing environment.
• Must demonstrate ability to detail engineering reports using engineering and statistical software as well as common Microsoft Office and Acrobat applications.
• Proven track record to plan and resolve issues that involve gaining partnership of multi-functional, multi-cultural groups and sites without damaging relationships.
• Must have ability to obtain a valid passport and travel regionally and internationally as the need arises.
• Fluent in English and local language (verbal and in writing).
• Must demonstrate excellent written and verbal communication skills.

• Working in compliance with legislation and IMS (required for all)
• Manage / conduct the implementation for Failure Analysis with a directive to manage the available resources and equipment to implement the Root Cause Corrective Measure to improve customer impact and part quality.
• Conduct detailed analytical analysis of system or component level problems that affect reliability, quality, etc. This includes the use of statistical analysis, 8-Step analysis, 5why’s or other established methods.
• Provide technical support to the factory, to ensure that Thermo Fisher Scientific is capable of shipping products with a view to robustness, quality and reliability.
• Review and support the supply chain with engineering expertise. This includes the analysis of parts for reliability and supplier technical quality issues.
• Support Field Service / GTS with product issues as necessary. May require developing an action plan looking to resources to address customers’ on-site issues.
• Track evidence of the changes, report out (up to DLT level) and communicate the results of the actions.
• Demonstrated experience participating in technical projects is helpful.
• Proven experience with process improvements and methods. Experience with the use of statistical process control and statistical problem-solving methods, including Six-Sigma methods, is preferred.
• Demonstrated ability to provide clear and concise analysis of data and basic experimental methods.
• Self-starter who is also highly productive with limited supervision.
• Must function as a productive team member