James Opzoomer is a computational scientist with nine years of experience at the interface of experimental and computational biology, currently leading innovation efforts as Senior Scientist II in Relation’s Innovation Lab. He combines deep expertise in single-cell technologies, multi-modal assay engineering (including SIGNAL-seq), and machine learning to decode patient-specific drug resistance and drive drug discovery. His work spans end-to-end NGS bioinformatics, HPC pipeline development (Nextflow), and R/Python tooling, informed by a PhD in Oncology from King’s College London and MRC-funded research at UCL Cancer Institute. James has a track record of translating complex single-cell datasets into therapeutic insights—publishing first-author studies and developing methods that integrate protein signalling with transcriptomes in organoid models. Colleagues describe him as equally comfortable at the bench and at the terminal, blending experimental intuition with production-ready computational solutions.
9 years of coding experience
7 years of employment as a software developer
Doctor of Philosophy - PhD Oncology and Cancer Biology, Doctor of Philosophy - PhD Oncology and Cancer Biology at King's College London
Bachelor of Science (BSc) Biochemistry, Bachelor of Science (BSc) Biochemistry at McGill University
Contributions:3 releases, 13 commits, 3 PRs in 4 months
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