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 data
- Prepare consistently annotated datasets across multiple modalities
- Develop inputs for agentic workflows and model ingestion




- Translate biological questions into experimentally testable hypotheses
- Deliver computational approaches with scientific teams

Requirements:
- PhD or equivalent experience in Computational Biology or related discipline
- Solid background in statistics, data analysis, and visualisation
- Demonstrated multi-omics integration experience
- Independently develop, implement, and evaluate computational methods
- Collaborate effectively with experimental and AI researchers Use statistics, multi-omics integration, and visualisation to support actionable plant biology research insights at EIT.

📌 Multi Omics Bioinformatics Scientist (Halifax Regional Municipality)
🏢 Ellison Institute of Technology
📍 Halifax Regional Municipality