Richard Bickerton
About Richard Bickerton
Richard Bickerton is a Chief Systems Scientist at Exscientia, where he has worked since 2022. He has an extensive background in bioinformatics and molecular modeling, with previous roles at Inpharmatica, the University of Dundee, and the University of Cambridge.
Work at Exscientia
Richard Bickerton currently serves as Chief Systems Scientist at Exscientia, a position he has held since 2022. Prior to this role, he worked as Chief Data Officer from 2021 to 2022 and as Chief Informatics Officer from 2012 to 2021. His tenure at Exscientia spans over a decade, contributing to various aspects of the company's scientific and data-driven initiatives. The organization is known for its focus on artificial intelligence in drug discovery.
Education and Expertise
Richard Bickerton holds a Master's Degree in Molecular Modeling and Bioinformatics from Birkbeck, University of London, which he completed in 2000. He also earned a Bachelor of Science degree in Molecular and Cellular Biochemistry from the University of Oxford in 1999. Additionally, he obtained a Doctor of Philosophy (Ph.D.) in Structural Bioinformatics from the University of Cambridge in 2008. His educational background provides a strong foundation for his work in systems science and bioinformatics.
Background
Richard Bickerton has a diverse professional background in scientific research and data management. He worked at Inpharmatica as a Scientist from 2000 to 2004, followed by a position as Senior Scientist until 2005. He has also held various research roles at the University of Dundee, including Senior Research Associate and Postdoctoral Researcher, from 2008 to 2017. His experience spans both academic and industry settings, emphasizing his expertise in bioinformatics and systems science.
Achievements
Throughout his career, Richard Bickerton has contributed to significant advancements in the field of bioinformatics and systems science. His roles at Exscientia and the University of Dundee highlight his commitment to integrating data science with biological research. His academic pursuits, including a Ph.D. in Structural Bioinformatics, demonstrate his dedication to advancing knowledge in molecular modeling and computational biology.