Joseph Greenstein
About Joseph Greenstein
Joseph Greenstein is a Research Informatics Manager at BioTheryX, Inc., where he has worked since 2022. He has a background in chemical engineering and data analytics, with previous roles at CHDI Management, Inc., Firmenich, and Rutgers University.
Work at BioTheryX
Joseph Greenstein currently serves as the Research Informatics Manager at BioTheryX, Inc. in San Diego, California. He has held this position since 2022. In this role, he is responsible for overseeing research informatics initiatives, which include the development of data management strategies and the integration of informatics tools to support scientific research.
Previous Experience in Research and Data Engineering
Before joining BioTheryX, Joseph Greenstein worked at CHDI Management, Inc. as a Data Engineer specializing in cheminformatics from 2018 to 2022. He also held the position of Senior Chemist at Firmenich from 2016 to 2018. His early career included roles as a Research Assistant at Rutgers University and as a Process Control Intern at Procedyne Corp.
Education and Expertise
Joseph Greenstein earned a Master's degree in Computer Science/Data Analytics from Boston University, completing his studies from 2018 to 2020. He also holds a Bachelor of Science in Chemical Engineering from Rutgers University–New Brunswick, where he studied from 2014 to 2016. Additionally, he obtained an Associate's Degree in Engineering from Ocean County College between 2012 and 2014.
Technical Skills and Contributions
Joseph Greenstein has demonstrated expertise in developing ETL pipelines using Python to facilitate data transfer to AWS. He has created data-visualization tools for scientists and has been involved in training users to enhance data accessibility. His work includes designing a custom application for sample dispatch management and building a machine learning model to predict chemical properties.
Achievements in Data Optimization
Throughout his career, Joseph Greenstein has focused on improving data efficiency and accuracy. He optimized databases by identifying errors and redundant tables, which contributed to enhanced data integrity. His initiatives have received positive feedback from both users and management, reflecting his impact on research capabilities.