Lily Goodyer Sait, PhD

Advanced Bioinformatician @ BenevolentAI

About Lily Goodyer Sait, PhD

Lily Goodyer Sait, PhD, is an Advanced Bioinformatician at BenevolentAI in London, with a background in structural biology and general biological sciences from UCL and the University of Oxford.

Education and Expertise

Lily Goodyer Sait earned her PhD from UCL, specializing in Structural Biology, from the Institute of Structural and Molecular Biology. She completed her doctoral studies between 2018 and 2022. Earlier, she achieved a Bachelor's degree in Biology/Biological Sciences from the University of Oxford, where she studied from 2013 to 2016. Her academic background has equipped her with extensive knowledge in both structural biology and general biological sciences.

Professional Experience

Lily Goodyer Sait is currently employed as an Advanced Bioinformatician at BenevolentAI in London, England. Her role involves extensive work with complex biological data. She initially joined BenevolentAI as a Bioinformatics Scientist Intern in 2021, gaining valuable experience over three months. Prior to her current position, she was a PhD student at UCL for four years, from 2018 to 2022.

Previous Research Roles

Before her tenure at UCL, Lily worked as a Research Assistant at The Wellcome Trust Centre For Human Genetics in Oxford, United Kingdom, for 10 months between 2016 and 2017. She also held research assistant positions at various other notable institutions. These included short-term roles at the University of Reading, University of Oxford, and Northern Arizona University, providing her with a robust foundation in data analysis and biological research.

Specialization in Data Engineering and Analysis

Lily Goodyer Sait specializes in data engineering and data analysis projects that utilize complex biological data. Her expertise lies in leveraging this data to derive meaningful insights, a skill integral to her role at BenevolentAI. This specialization stems from her extensive academic and professional background in structural biology and bioinformatics.

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