Summary
Andrea Vernon is a Senior Data Software Engineer with 11 years of experience applying computational biology and data engineering to life-science problems, currently building data platforms at BenchSci after leading bioinformatics teams at BenevolentAI. She blends a PhD-trained scientific mindset with practical software skills—designing FAIR-aligned ETLs, knowledge graph ingestion pipelines, and reusable data products that help scientists get more from their data. At BenevolentAI she combined squad leadership, product thinking and hands-on redesign of central ETL frameworks, while also acting as a line manager and cross-team communicator. Her background spans academic tool-building (an R package for KEGG data during her PhD) through product ownership of cytometry software, showing comfort moving between research, product and engineering contexts. Based in London, she favors user-centered solutions that simplify complex biology workflows and has a track record of turning niche lab needs into production-ready tooling. A detail not obvious from titles: she pairs data engineering with practical lab experience and even low-tech ingenuity (e.g., 3D-printed lab stencils) to bridge bench and code.
11 years of coding experience
5 years of employment as a software developer
High School High School/Secondary Diplomas and Certificates, High School High School/Secondary Diplomas and Certificates at Tecnológico de Monterrey
Master's Degree Systems Biology, Master's Degree Systems Biology at The University of Warwick
Doctor of Philosophy (Ph.D.) Synthetic Biology, Doctor of Philosophy (Ph.D.) Synthetic Biology at University of Warwick
Bachelor's degree Biotechnology, Bachelor's degree Biotechnology at Flinders University
Teacher's course Teacher's course with focus on ESL, Teacher's course Teacher's course with focus on ESL at Shamrock Institute S.C.
Licentiate degree Biotechnology, Licentiate degree Biotechnology at Universidad Autónoma de Querétaro
Spanish, English, German