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About the Role
The Autonomous Labs (AutoLabs) programme focuses on generating high-fidelity experimental data for foundation models. This role leads a lean team of scientists and automation specialists while remaining hands-on at the bench to design, execute, and troubleshoot experiments that drive real-world scientific breakthroughs.
Responsibilities
- Own experimental design and wet-lab delivery for foundation model datasets.
- Drive independent research to resolve experimental design and data generation challenges.
- Lead, line-manage, and develop a team of laboratory scientists and automation specialists.
- Perform hands-on wet-lab and automation work.
- Design, execute, document, and analyze experiments on automated platforms.
- Define and manage end-to-end data generation campaigns including scoping, scheduling, and QC.
- Develop, optimize, and validate scientific workflows for cell culture, protein engineering, and protein purification.
- Oversee maintenance and troubleshooting of automation platforms like liquid handlers and thermocyclers.
- Collaborate with modeling teams to ensure data meets downstream training requirements.
- Utilize scientific computing and programming to support and orchestrate workflows.
- Stay current with field developments and implement new techniques or equipment.
- Disseminate results through internal discussions, seminars, and publications.
Requirements
- Scientific curiosity across diverse fields beyond biology.
- PhD in an experimental field (wet-lab focus).
- Strong hands-on experience with molecular biology workflows including cell culture, protein engineering, and protein purification.
- Ability to interpret scientific literature and troubleshoot novel protocols.
- Hands-on experience with automated laboratory equipment such as liquid handlers, thermocyclers, and plate handling systems.
- Build-it-yourself attitude with a willingness to perform hands-on lab work.
- Ability to commute to Oxford at least 2 days per week.
Skills
- Molecular biology
- Cell culture
- Protein engineering
- Protein purification
- Laboratory automation
- Liquid handling
- Scientific computing
- Experimental design
- Data generation
- Team leadership
Location
- Oxford, UK
Work Type
- Hybrid
Education Level
- PhD in an experimental field
Benefits
- Enhanced holiday pay
- Pension
- Life Assurance
- Income Protection
- Private Medical Insurance
- Hospital Cash Plan
- Therapy Services
- Perk Box
- Electric Car Scheme
About the Company
- The Ellison Institute of Technology (EIT) translates scientific discovery into real-world impact.
- Focus areas include Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change, and Artificial Intelligence & Robotics.
- The organization fosters a culture of excellence, innovation, tenacity, trust, and collaboration.
Equal Opportunity
- The company believes a collaborative, inclusive team is key to success and builds a supportive environment where creative risks are encouraged.