Apply multi-omics analysis and software development as a Computational Biologist in Oxford, supporting plant science research at EIT.

The Computational Biologist joins EIT’s Bioinformatics platform team and collaborates with phenotyping and research teams. You will build computational tools, robust data pipelines, visualisation tools, and agentic workflow inputs. The work translates complex datasets into actionable insights for plant research and decision-making.

Key Responsibilities:

- Translate biological questions into computational approaches and testable hypotheses
- Prepare multi-omics and imaging datasets for model ingestion
- Integrate transcriptomics, metabolomics, and proteomics datasets
- Develop image segmentation, feature extraction,



and phenotyping pipelines
- Link image-derived phenotypes with molecular signatures

Requirements:

- PhD or equivalent research experience in a related discipline
- Independently develop and evaluate computational biological methods
- Experience with at least two omics types
- Experience applying computer vision to biological datasets
- Communicate findings and collaborate with scientific teams

Bring multi-omics, computer vision, and computational biology expertise to advance plant research at EIT Oxford.

📌 Plant Computational Biology Scientist (Oxford)
🏢 Ellison Institute of Technology
📍 Oxford