Daniel James
About Daniel James
Daniel James is the Application Science Team Leader at Dotmatics, specializing in biological and chemical data formats to support scientific research. With a background in bioinformatics and project management, he enhances project efficiency through requirements gathering and workflow processes.
Work at Dotmatics
Daniel James has been serving as the Application Science Team Leader at Dotmatics since 2020. In this role, he focuses on requirements gathering and workflow processes, which aim to enhance project efficiency and data management. His work supports various scientific research needs, particularly in the management of biological and chemical data formats. His leadership contributes to the development of innovative solutions that facilitate scientific advancements.
Previous Experience at Upstate
Before joining Dotmatics, Daniel worked at Upstate as a Bioinformatician and Project Manager from 2003 to 2006. During his three years there, he gained valuable experience in bioinformatics, contributing to projects that required a strong understanding of biological data analysis and project management.
Experience at University of Dundee
Daniel served as the Informatics Manager at the University of Dundee from 2006 to 2011. Over the course of five years, he managed informatics projects, which likely involved overseeing data management and analysis in a research environment. This position further solidified his expertise in handling complex data formats.
Education and Expertise
Daniel James studied at Balerno High School from 1990 to 1996 before pursuing higher education. He earned a Bachelor of Science degree in Molecular and Cellular Biology from The University of Glasgow, graduating with a 2.1 classification in 2001. He continued his studies at the same university, obtaining a Master of Research (MRes) in Bioinformatics in 2002. He is also a certified AgilePM® Practitioner, demonstrating his proficiency in Agile project management methodologies.
Specialization in Data Management
Daniel has a strong specialization in managing high content screening data formats, which are essential in drug discovery processes. His background in both biological and chemical data formats equips him with the necessary skills to support diverse scientific research needs, enhancing the efficiency of data management and project workflows.