We have a (Senior) Computational Biologist within a mission-driven, research and technology organisation focused on translating advanced genomic science into real-world diagnostic and public health applications.As a Scientist or Senior Scientist in Computational Genomics, you will design and develop novel algorithms and analytical methods for microbial sequencing data, contributing directly to the development of next‐generation diagnostic solutions.Please note, this role is based in Oxford, UK and the company will sponsor & relocate.This Will Offer YouThe opportunity to develop novel computational methods with real clinical and public health impactA role at the intersection of genomics, AI/ML, and scalable cloud infrastructureClose collaboration with computational scientists, engineers, and experimental teamsOwnership of method development from research through to product integrationA highly interdisciplinary, innovation‐led environmentYour ResponsibilitiesDesign and evaluate new computational approaches for genome assembly, binning, and functional characterisation from metagenomic sequencing dataApply advanced statistical and AI/ML techniques to large‐scale microbial datasetsImplement methods into scalable, reproducible, and modular workflows in collaboration with engineering teamsBenchmark approaches using public and internal datasets and support experimental validationContribute to technical discussions across computational, software, and wet‐lab teamsCommunicate complex concepts clearly to interdisciplinary stakeholdersYou Will BringPhD (or equivalent experience) in Bioinformatics, Computational Biology, Computer Science, or a related quantitative fieldExperience developing computational methods for next‐generation sequencing data (postdoctoral or industry experience for Senior level)Strong grounding in algorithms, data structures, and statistical modelling relevant to genomicsExperience applying machine learning to biological or sequencing dataProficiency in programming (e.g. Python, C/C++, Rust) and modern software development practicesA rigorous, detail‐oriented mindset with commitment to reproducibility and benchmarkingDesirable: Experience with microbial genomics, long‐read sequencing, workflow management systems, cloud environments, or open‐source bioinformatics contributions.
#J-18808-Ljbffr