Thomas Bradley
Research Associate
Cambridge, England, United Kingdom
Summary
👤
Senior🎓
Top SchoolThomas Bradley is a computational biologist and postdoctoral research associate at the Cancer Research UK Cambridge Institute, specializing in chromosomal instability and mutational processes in high-grade serous ovarian carcinoma. With a decade of experience spanning a PhD in Computational Biology and roles as a bioinformatician and research lead, he combines deep domain expertise with hands-on pipeline and infrastructure development to support lab-wide computational needs. His work is supported by AstraZeneca’s Partners of Choice programme, reflecting translational relevance and industry collaboration. Known for co-leading projects and mentoring graduate students, he blends rigorous analysis with practical bioinformatics guidance, and maintains a strong publication record available on Google Scholar. An early background in developing SOPs and client-facing tools during industry internships highlights his ability to turn complex research into reproducible, usable results.
11 years of coding experience
2 years of employment as a software developer
A levels, A*A*A*A* - Maths, Physics, Biology, Chemistry, A levels, A*A*A*A* - Maths, Physics, Biology, Chemistry at Prior Pursglove CollegeBachelor's Degree, Natural Sciences, Bachelor's Degree, Natural Sciences at University of CambridgeMaster of Research (MRes), Computational Biology, Master of Research (MRes), Computational Biology at University of YorkDoctor of Philosophy (Ph.D.), Computational Biology, Doctor of Philosophy (Ph.D.), Computational Biology at University of East Anglia
Github Skills (45)
phasing10
snakemake10
python10
sequence-alignment10
rna-seq10
bioinformatics10
data-visualization10
genomics10
pypi10
caller9
variants9
next-generation-sequencing9
phylogenetics9
bioconda9
workflow-management9
Programming languages (11)
Github contributions (5)
TBradley27/filtar_R
Dec 2018 - May 2025
Contributions:34 pushes, 1 issue in 6 years 6 months
TBradley27/FilTar
Jun 2018 - Sep 2020
Using RNA-Seq data to improve microRNA target prediction accuracy in animals
Contributions:7 releases, 27 reviews, 802 commits in 2 years 4 months
rna-seqmirna-targetsmirnamirna-mrna-interaction
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