Meron Negash

Project Lead, Quality&operations Strategy | Change Management at Cepheid

Meron Negash is a skilled professional in Quality and Operations Strategy with experience in change management and technical operations projects at Cepheid since September 2021. Negash's expertise includes product and tech transfers, design qualification, risk management, and the implementation of quality management systems adhering to ISO 13485 and ISO 14971 in GMP environments. Prior to this role, Negash served as Engineering Team Lead and Project Leader at AstraZeneca, managing cross-functional engineering issues in API production. Additional experience includes conducting a thesis project on industrial engineering focused on manufacturing efficiency at Coca-Cola Europacific Partners, consulting on logistics quality management at StudentConsulting, and working as a Logistics Associate at Arla Foods. Negash holds a Master's degree in Industrial Engineering Management and a Bachelor's degree in Mechanical Engineering from KTH Royal Institute of Technology.

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Cepheid

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Cepheid is a molecular diagnostics company. The Company develops, manufactures and markets fully-integrated systems for testing in the Clinical and Non-Clinical markets. The Company's systems enable molecular testing for organisms and genetic-based diseases by automating otherwise complex manual laboratory procedures. The Company's systems integrate these steps and analyze biological samples in test cartridges. Its primary offering is the GeneXpert system, which integrates sample preparation in addition to Deoxyribonucleic acid (DNA) amplification and detection. The GeneXpert system is designed for a range of user types ranging from reference laboratories and hospital central laboratories to satellite testing locations, such as emergency departments and intensive care units within hospitals, as well as physician offices and other alternate site laboratories. It also offers the SmartCycler system, which integrates DNA amplification and detection to allow rapid analysis of a sample.


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1,001-5,000

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