Senior AI Co-Scientist Systems Engineer - Biology

Senior AI Co-Scientist Systems Engineer - Biology

Full-Time 54000 - 66000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and build an AI-agent platform for groundbreaking biological discoveries.
  • Company: Earlham Institute, a leading research institute in Norwich, UK.
  • Benefits: Access to cutting-edge GPU infrastructure and opportunities for impactful research.
  • Other info: Collaborative environment with opportunities for professional growth.
  • Why this job: Join a dynamic team and contribute to high-impact software in biology.
  • Qualifications: Experience in software engineering and a passion for AI in biology.

The predicted salary is between 54000 - 66000 £ per year.

Earlham Institute in Norwich, UK, invites applications for a Research Software Engineer (SC6) or Senior Research Software Engineer (SC5) to join the AI for Biology Group.

The role designs and builds an AI-agent platform, connecting AI models, tools, data and workflows for AI-driven biological discovery.

The successful candidate will work across EI with multiple teams, benefit from substantial GPU/infrastructure access, and contribute to high‑impact software and grant activities.

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Senior AI Co-Scientist Systems Engineer - Biology employer: Earlham Institute

Earlham Institute is an exceptional employer, offering a dynamic work environment in the heart of Norwich, where innovation meets collaboration. As a Predoctoral Intern, you will benefit from comprehensive training in both wet-lab and computational design, alongside opportunities for professional growth and the chance to present your research. The supportive culture fosters creativity and encourages the pursuit of meaningful contributions to plant sciences, making it an ideal place for aspiring scientists.

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Contact Details:

Earlham Institute Recruitment Team

We think you need these skills to ace Senior AI Co-Scientist Systems Engineer - Biology

AI Model Development
Software Engineering
Data Integration
Workflow Design
Biological Data Analysis
Collaboration Skills
GPU Programming