Raquel García is a senior bioinformatician based in Cambridge with six years’ experience applying computational and statistical methods to clinical cancer genomics and transcriptomics. She develops scalable, open-source pipelines in Python and R, routinely using Linux, version control, and workflow frameworks to analyse whole-genome and whole-transcriptome data for real-time clinical decision-making. At Cancer Research UK Cambridge Institute and the University of Cambridge she has led analyses that inform patient care and trial recruitment, contributed to the ICGC bioinformatics working groups, and mentors junior team members. She combines hands-on pipeline engineering with teaching—delivering bioinformatics and biostatistics courses—and a part-time PhD focus on medical science. Her background spans precision medicine, structural variant detection, and metagenomics, reflecting a broad comfort with both bench-driven questions and large-scale data integration. Colleagues know her for pragmatic, reproducible solutions that bridge research and clinical impact.
6 years of coding experience
6 years of employment as a software developer
PhD Medical Science, PhD Medical Science at University of Cambridge
Biology degree Biology, Biology degree Biology at Universidad de Salamanca
Bioinformatics MSc Bioinformatics, Bioinformatics MSc Bioinformatics at Wageningen University & Research
Pipeline for RNA and DNA integrated analysis for somatic mutation detection
Contributions:8 PRs, 7 pushes, 1 branch in 6 months
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