Barnabas Becze

Manufacturing Scientist Ii @ Organogenesis

About Barnabas Becze

Barnabas Becze is a Manufacturing Scientist II at Organogenesis, specializing in upstream manufacturing processes and cell culture formulations. He holds a Bachelor's Degree in Biotechnology and Molecular Biology from California State University San Marcos and has over six years of experience in the biomanufacturing field.

Work at Organogenesis

Barnabas Becze has been employed at Organogenesis since 2018, currently holding the position of Manufacturing Scientist II. In this role, he specializes in upstream manufacturing processes, including cell expansion and aseptic processing. His responsibilities encompass the development and optimization of manufacturing protocols to ensure efficient production. Prior to his current role, he served as Manufacturing Scientist I at Organogenesis for one year, where he contributed to various manufacturing projects.

Education and Expertise

Barnabas Becze earned a Bachelor’s Degree with a double major in Biotechnology and Molecular Biology from California State University San Marcos, completing his studies from 2014 to 2018. His academic background provides a strong foundation for his work in biomanufacturing. He possesses expertise in intermediate cell culture formulations, which includes the initiation, incubation, expansion, and collection stages of cell culture processes.

Background

Before joining Organogenesis, Barnabas Becze worked as a Research Associate I (Internship) at Stemedica Cell Technologies, Inc. from 2016 to 2017 in the Greater San Diego Area. This experience contributed to his knowledge and skills in the field of cell technologies and biomanufacturing. His career trajectory reflects a consistent focus on manufacturing and research within the biotechnology sector.

Achievements

Barnabas Becze has demonstrated proficiency in writing standard operating procedures for process development, which is essential for maintaining quality and compliance in biomanufacturing. He is also skilled in data analysis using Excel, particularly in the context of biomanufacturing, which supports effective decision-making and process improvements.

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