Turn multi-omic datasets into research insights as a Computational Biologist working with EIT's plant-focused Bioinformatics platform in Oxford.This role supports the Plant Biology Institute through statistics, data analysis, visualisation, and software development. You will collaborate with bioinformaticians, research scientists, and AI engineers to deliver enterprise-level analytical approaches. Your work will inform plant trait engineering strategies and data-driven research decisions across the institute.Key Responsibilities:Analyse and integrate transcriptomics, metabolomics,



and proteomics dataPrepare consistently annotated datasets across multiple modalitiesDevelop inputs for agentic workflows and model ingestionTranslate biological questions into experimentally testable hypothesesDeliver computational approaches with scientific teamsRequirements:PhD or equivalent experience in Computational Biology or related disciplineStrong background in statistics, data analysis, and visualisationDemonstrated multi-omics integration experienceIndependently develop, implement, and evaluate computational methodsCollaborate effectively with experimental and AI researchersUse statistics, multi-omics integration, and visualisation to support actionable plant biology research insights at EIT.

📌 Multi Omics Bioinformatics Scientist (Oxford)
🏢 Ellison Institute of Technology
📍 Oxford