Lance Norman

Lance Norman

Principal Automation Engineer @ Bristol Myers Squibb

About Lance Norman

Lance Norman is the Principal Automation Engineer at Bristol Myers Squibb and the Chief Technology Officer at Opal Wearables. He has extensive experience in hardware engineering and automation engineering roles.

Current Roles at Opal Wearables and Bristol Myers Squibb

Lance Norman is currently serving as the Chief Technology Officer at Opal Wearables in New York, NY. Simultaneously, he holds the position of Principal Automation Engineer at Bristol Myers Squibb in Warren, New Jersey. His roles involve leading technology strategies and overseeing automation engineering efforts at these prominent organizations.

Previous Experience at Opal Wearables and Bristol Myers Squibb

Lance Norman's previous tenure at Opal Wearables includes a significant role as Director of Hardware Engineering from 2021 to 2023 in New York, NY. Concurrently, he was employed at Bristol Myers Squibb as a Senior Automation Engineer, a position he held from 2020 to 2022 in Warren, New Jersey. These roles allowed him to gain extensive experience in both hardware and automation engineering.

Work at Autonomous Therapeutics and Precision Measurement Services

Prior to his current roles, Lance Norman was an Electrical Design Engineer at Autonomous Therapeutics, Inc. for a year from 2019 to 2020 in Manhattan, New York. Before that, he worked as a Service and Design Engineer at Precision Measurement Services from 2017 to 2019 in North Branford, CT, where he contributed to various engineering projects focusing on precision measurement and design.

Research and Development Career at IMCORP

Lance Norman spent three years as an R&D Engineer at IMCORP from 2014 to 2017 in Manchester, CT after an initial year-long internship at the same company. His work there centered around research and development, contributing to the company's engineering solutions and innovations.

Educational Background in Electrical and Computer Engineering

Lance Norman holds a Master of Science degree in Electrical Engineering from Columbia University in the City of New York. He also earned a Bachelor of Science degree in Computer Engineering from The University of Connecticut, where he studied from 2010 to 2014. His advanced education has provided a strong foundation for his career in both hardware and automation engineering.

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