Bioinformatician Plant Biology Institute England, United Kingdom

Join us at EIT

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work – work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real‑world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more .org.

The Plant Biology Institute, headed by Professor Steve Kelly, is a key part of the Ellison Institute of Technology (EIT) Oxford. The institute aims to develop impactful and commercially sustainable solutions for improving global food production and planetary health through pioneering plant science research.

The Plant Biology Institute will unite world‑class researchers who are focused on expanding the frontiers of plant science. Our research is focused on enhancing our ability to feed the planet while simultaneously improving the climate and ecosystem outcomes of food production. By embedding cutting‑edge plant science research within an organisation that is focused on solving global challenges at scale, we aim to accelerate the timeline from discovery to global impact.

• Improved plant productivity, both indoors and outside.
• Reduced reliance on inputs including water, fertilisers, pesticides, and herbicides.
• Novel decarbonised plant‑based production platforms for food and medicines.
• Advanced technologies that speed up discovery and deployment in plants.

Researchers will have access to state‑of‑the‑art laboratory and plant growth facilities and have opportunities to collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem. They will also work with global leaders in market development, commercialisation, and impact creation. The Plant Biology Institute has long‑term substantial funding to support the unique scale and ambition of its vision.

We are seeking a highly motivated Bioinformatician to join the Bioinformatics platform team, which builds computational tools for plant biology in close collaboration with the phenotyping platform and research teams.

The successful candidate will work at the intersection of genomics, transcriptomics, and computational biology, to accelerate plant science research. By developing and implementing bioinformatics algorithms, your work will directly shape how biological questions are translated into computational analyses, enabling researchers to unravel complex traits and predict phenotypic outcomes with greater accuracy. The role will require working closely with bioinformatics engineers and research scientists to design and deliver enterprise‑level analytical approaches that meet the evolving needs of the institute.

The ideal candidate will have a strong background in genomics and transcriptomics, experience working with complex plant genomes, and the ability to break down complex research questions into clear, tangible milestones for implementation.

• Develop and implement bioinformatics algorithms for the analysis of genomic and transcriptomic data.
• Translate complex research questions into well‑defined analytical approaches and implementation milestones.
• Apply and evaluate machine learning methods to predict complex traits and phenotypic outcomes from genomic and transcriptomic data.
• Analyse and interpret large‑scale genomic and transcriptomic datasets from complex plant genomes.
• Collaborate with bioinformatics engineers and systems administrators to integrate algorithms into production pipelines and workflows.
• Communicate analytical approaches and findings clearly to both technical and…