JOB DESCRIPTION

When you’re part of Thermo Fisher Scientific, you’ll do challenging work, and join a team that values performance, quality and innovation. As part of a successful, growing global organization you will be encouraged to perform at your best. With revenues of more than $40 billion and the largest investment in R&D in the industry, we give our people the resources and chances to create significant contributions to the world.
Are you ready to take on a unique opportunity to make an exceptional impact in a global organisation? Thermo Fisher Scientific is seeking a Power Platform Quality Engineer to contribute significantly to transforming our Quality Management System (QMS) processes with digital solutions to drive efficiency and effectiveness.

REQUIREMENTS:

• Proven experience in software engineering (PowerApps, PowerBI, PowerAutomate, Python) preferably within a Quality Management System
• Flawless attention to detail and a passion for world-class quality
• Strong drive and the ability to effectively implement digital solutions
• Strong collaboration and communication skills
• Forward-thinking digital leader focused on innovation, efficiency, and user-centred solutions
• Familiarity with LLM AI integration in digital platforms and automated workflows

• Develop and maintain Power Platforms to support the QMS with a strong focus on Human Factor Engineering (HFE)
• Ensure full compliance with regulatory requirements for digital systems, QMS processes, and record integrity
• Run multi-site digital projects to improve the robustness, efficiency, and effectiveness of the QMS
• Maintaining datasets to ensure applications are up to date
• Maintain and improve automated workflows to ensure seamless process operations.
• Develop and maintains the procedures associated with the workflows
• Digital Practical Process Improvement (dPPI)
• Promoting high-quality practices and ensuring the use of effective problem-solving methods to identify, prioritise, communicate, and resolve quality issues found within QMS processes.
• Maintain accurate quality documentation.
• Work closely with diverse business partners (end users) to ensure development of effective HFE digital processes
• Do root cause analysis for QMS process failures and apply sound logic to digital solutions
• Leverage AI tools and machine learning capabilities to enhance decision-making, automate tasks, and strengthen predictive quality insights