Paula Pritchett
Lead Bioinformatics Scientist
Greater Cambridge Area United Kingdom
Summary
👤
Senior🎓
Top SchoolPaula Pritchett is a Lead Bioinformatics Scientist with over a decade of experience translating high-throughput genomics into actionable insights, and eight years focused on professional roles spanning academia and industry. She combines deep expertise in WES, RNA-seq, CRISPR screens and cancer biomarker discovery with strong Python/R coding, statistical rigor and practical machine learning (notably random forests) to support oncology diagnostics and drug discovery. Her career bridges pioneering academic tool development—co-creating CHiCAGO for promoter capture Hi-C analysis—and hands-on assay and algorithm development in clinical labs. At Illumina and NeoGenomics she has built turnkey NGS pipelines that handle patient and model-organism data at scale while meeting regulatory and diagnostic constraints. Comfortable moving between hypothesis-driven systems biology and productionized bioinformatics, she brings unusual fluency in both dynamical systems modelling from her PhD and the pragmatic demands of clinical genomics. Based in the Greater Cambridge area, she leverages a strong collaborative network across UK research institutes and industry to advance translational genomics.
8 years of coding experience
11 years of employment as a software developer
DPhil Biochemistry - Systems Biology, DPhil Biochemistry - Systems Biology at University of OxfordPhD Program in Computational Biology, Instituto Gulbenkian CiênciaIntegrated Master Biological Engeneering, Integrated Master Biological Engeneering at Instituto Superior Técnico
Portuguese, English, French
Github Skills (6)
genomes4
classification3
bioinformatics3
vcf-files3
sequencing3
perl2
Programming languages (2)
Github contributions (5)
lmb-seq/PRAGUI
Sep 2017 - Apr 2020
Contributions:79 commits, 73 pushes, 1 branch in 2 years 7 months
lmb-seq/cross_filter
Jul 2017 - Mar 2020
Contributions:25 pushes in 2 years 8 months
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