Chintan Mehta
About Chintan Mehta
Chintan Mehta is a Principal Scientist at Bristol Myers Squibb in New Brunswick, New Jersey, with extensive experience in biopharmaceutical manufacturing and process development.
Current Role at Bristol Myers Squibb
Chintan Mehta currently serves as a Principal Scientist at Bristol Myers Squibb in New Brunswick, New Jersey, operating in a hybrid work model. His responsibilities include leading scientific projects and contributing to the company's research and development efforts.
Previous Experience at Amgen
Chintan Mehta worked at Amgen from 2019 to 2022 as a Senior Process Development Engineer in Thousand Oaks, California. During this period, he contributed significantly to process development and optimization initiatives. He was involved in leading tech transfer activities, conducting process gap assessments, and risk assessments.
Educational Background in Engineering and Project Management
Chintan Mehta completed a Master of Science (MS) in Bio-Pharmaceutical Manufacturing Engineering at Stevens Institute of Technology from 2009 to 2011. He also obtained a Stanford Certified Project Manager credential after studying Project Management at Stanford University from 2015 to 2017. He holds a Bachelor's degree in Pharmacy from Maliba Pharmacy college, which he earned between 2005 and 2008.
Key Projects and Initiatives
Throughout his career, Chintan Mehta has led significant projects, including developing a fill process strategy for both clinical and commercial filling operations. He also authored a Process Validation Project Plan and designed process characterization and validation activities. Furthermore, he played a pivotal role in starting up an aseptic facility, managing critical utilities, CIP skid, filler, and process equipment.
Experience with Bioprocessing and Automation
Chintan Mehta possesses extensive experience in upstream and downstream bioprocess steps, sterile vial filling technology, and aseptic processing technology. He also has a working knowledge of process automation systems such as Delta-v, PCS, PLC, SCADA, and MES. His expertise includes utilizing QbD/PAT tools and statistical tools for process analysis.