Senior Automation Scientist

The Ellison Institute of Technology (EIT) is building the next generation of AI-driven, autonomous laboratories where experimental science, robotics, and machine learning integrate to design, execute, and optimise experiments dynamically. A critical purpose of our Autonomous Labs (AutoLabs) programme is to generate self driving workflows, particularly in workflows and deployment environments without automation scientists readily available.

We are seeking a highly capable, hands-on Senior Automation Laboratory Scientist to play a central role in this transformation.

• →Execute, optimise and design wet-lab workflows
• →Translate scientific objectives into structured, reproducible, automation-ready protocols
• →Read scientific literature and independently attempt, execute and troubleshoot protocols found in the literature in the wet lab
• →Operate and support laboratory automation platforms, including liquid handling systems
• →Lead the design, development, and deployment of a deployable automation platform, increasing robustness and reliability and enabling use by lab techs and scientists without a lab automation scientist in the loop
• →Collaborate closely with automation engineers, AI researchers, and interdisciplinary scientific teams
• →Maintain rigorous documentation, quality control, and biosafety compliance standards

• A PhD in a STEM discipline or equivalent industry experience
• Strong hands-on experience from a wet-lab environment, with a genuine desire to do hands-on work at the bench
• Demonstrated ability to independently execute and troubleshoot laboratory workflows
• Experience translating experimental goals into structured, reproducible protocols
• High attention to detail and commitment to experimental quality
• Scientific curiosity that is open to any area of science (beyond just biology)
• A can-do, build-it-yourself attitude and comfort working in a fast-evolving, technology-driven laboratory environment

• Operating automated laboratory systems (e.g., liquid handlers; experience with Hamilton and OpenTrons is particularly useful)
• Strong familiarity and hands-on experience with molecular biology workflows, particularly sequencing and antimicrobial resistance testing
• Familiarity with structured data capture
• Exposure to programming (e.g., Python) and machine learning concepts
• Team lead experience

You must be able to commute to Oxford 5 days a week for this role.