Bioinformatics Engineer

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

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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.

• Areas of exploration include:
• 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 Bioinformatics Engineer 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 data, workflows, and compute capabilities, to accelerate plant science research. By building the bioinformatics data and pipeline infrastructure, your work will directly shape how data moves from lab instrumentation through to analysis, ensuring researchers can access reliable, well‑structured data and reproducible workflows to drive their science forward. The role will require working with bioinformaticians, data analysts, and systems administrators to design, build, and maintain data and workflow orchestration solutions that meet the evolving needs of the institute.

The ideal candidate will have experience in leveraging cloud technologies to build and maintain scalable data and workflow solutions, along with a strong foundation in bioinformatics pipeline development and a collaborative approach to working across scientific and technical teams.

• Develop and manage the bioinformatics data and pipeline infrastructure, including versioning, deployment processes, and compatibility across compute environments
• Oversee the design and development of scalable Nextflow pipelines for processing omics data, either through direct development or by guiding others
• Design production‑grade ETL processes to integrate data from various sources into the Bioinformatics platform
• Define and implement processes for pipeline performance monitoring, troubleshooting, and resource optimisation
  
  Document pipelines, infrastructure, and workflows to support reproducibility and knowledge‑sharing across the team
• Collaborate with bioinformaticians and systems administrators to align infrastructure and workflow solutions with research needs

• BSc/MSc in Bioinformatics, Computer Science, or a related field and proven experience working in a compute…