Matthew Tomlinson
About Matthew Tomlinson
Matthew Tomlinson is a scientist at Bristol-Myers Squibb in Milpitas, CA, with over 20 years of experience in the biotechnology industry, specializing in automated high throughput biochemical screening and assay development for hybridoma screening.
Current Role at Bristol-Myers Squibb
Matthew Tomlinson is currently employed as a Scientist at Bristol-Myers Squibb, working in Milpitas, CA. In his role, he focuses on assay development for hybridoma screening, leveraging his extensive experience in high throughput screening and automation.
Previous Experience at Portola Pharmaceuticals
From 2009 to 2011, Matthew Tomlinson worked as a Contractor at Portola Pharmaceuticals in South San Francisco. During this two-year period, he contributed to various projects, utilizing his skills in biochemical screening and data analysis.
Senior Research Associate at Cytokinetics
Matthew Tomlinson was employed at Cytokinetics from 2006 to 2008 as a Senior Research Associate. Based in South San Francisco, he was essential in the development of high throughput screening assays and troubleshooting complex research challenges.
Long-term Engagement at Axys/Celera
Matthew Tomlinson spent a decade at Axys/Celera, working from 1995 to 2005 as a Scientist in South San Francisco. His work there solidified his expertise in automated high throughput biochemical screening, proteases, FACS, and immunology.
Educational Background in Genetics
Matthew Tomlinson has a strong academic foundation in Genetics. He earned his MA from Harvard University, where he studied from 1990 to 1993. Prior to that, he completed his BA in Genetics at the University of California, Berkeley, between 1984 and 1988.
Specializations and Technical Skills
With over 20 years in the biotechnology industry, Matthew Tomlinson specializes in automated high throughput biochemical screening, assay design, and troubleshooting. He is also skilled in the analysis of large data sets, further demonstrating his proficiency in high throughput screening, automation, proteases, FACS, and immunology.