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Ellison Institute of Technology

Interdisciplinary R&D translating science into products

Scientist – Enzymology

Translational Research & Bench BiologyConfirmed live in the last 24 hours
Full-timeOxford, UK

About the Job

Requirements

  • A completed PhD in biochemistry, enzymology, protein engineering, molecular biology, or a related discipline is required.
  • Demonstrated experience designing, developing, and optimizing high-throughput enzyme assays for quantitative protein characterization, including robust, scalable spectroscopic, fluorometric, or colorimetric assays suitable for plate-based screening and automation.
  • Strong understanding of enzyme function, enzyme kinetics, and biochemical assay development, including experience optimizing assay performance, sensitivity, reproducibility, and throughput.
  • Demonstrated experience in recombinant protein expression or cell-free protein expression, protein purification, and biochemical characterization.
  • Demonstrated ability to design robust experiments, troubleshoot complex biochemical workflows, and optimize high-throughput assay performance for reproducibility, scalability, and automation.
  • Strong proficiency in molecular biology and protein biochemistry techniques, including construct design, molecular cloning, PCR, protein expression, affinity and chromatographic protein purification, and biochemical characterization.
  • Demonstrated ability to conduct independent research to a high standard and publish results in peer-reviewed journals.
  • Skills in experimental design, data analysis, statistical evaluation, and visualization.
  • Ability to work effectively within multidisciplinary teams spanning computational and experimental research.

Responsibilities

  • Design, develop, and optimize high-throughput enzyme assays for quantitative characterization of protein variants.
  • Develop robust, scalable, and reproducible assay platforms using simple, reliable plate-based readouts suitable for high-throughput screening and automation.
  • Use findings to inform iterative cycles of protein engineering and go/no-go decisions for in vivo validation.
  • Work with computational scientists to translate in silico protein design, AI-guided predictions, and trait discovery outputs into experimentally testable hypotheses.
  • Serve as a scientific contact for EIT’s AI and Robotics Institute, working with automation engineers, roboticists, and AI researchers to design, implement, and optimize automated workflows for protein expression, purification, and enzyme assays.
  • Help establish experimental platforms integrating automation, computational design, and biochemical validation to accelerate protein optimization.
  • Contribute to publications and intellectual property generation and help translate research into real-world and commercial solutions.
  • Collaborate with AI and automation experts to develop high-throughput biochemical workflows.
  • Collaborate with cross-functional teams to incorporate emerging technologies into enzyme characterization pipelines.
  • Develop protein expression and purification workflows to support biochemical characterization at scale.
  • Analyze and interpret enzyme kinetic data to identify high-performing protein variants and guide iterative protein engineering.
  • Present scientific work at team seminars and external meetings, and contribute to institute-wide discussions about developments in the field.
  • Draft scientific papers and contribute to preparation of publications.
  • Assist in translating scientific results into commercial opportunities consistent with EIT’s mission.
  • Identify opportunities for intellectual property creation, cooperate in patent protection, and contribute to impact delivery.

Desired Qualifications

  • Experience developing or implementing automated laboratory workflows, including liquid-handling systems for protein expression, purification, or biochemical assays.

About the Company

Ellison Institute of Technology

Interdisciplinary R&D translating science into products

The Ellison Institute of Technology unites science, engineering, policy, and entrepreneurship to tackle big global problems through four focus areas: Health, Medical Science & Generative Biology; Food Security & Sustainable Agriculture; Clean Energy Generation & Storage; and Artificial Intelligence & Robotics. It translates scientific discovery into commercial products and sustainable companies, reinvesting profits to fund more research; a key project is the GPAS bioinformatics platform for rapid pathogen analysis to help prevent pandemics. The institute differentiates itself through a deep alliance with the University of Oxford, an alliance faculty model that allows researchers to work across both institutions, and patient capital commitments to fund high-risk, high-reward research. Its goal is to solve global challenges by turning scientific breakthroughs into market-ready solutions and sustainable enterprises.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Oxford, United Kingdom
Founded
2023

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