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Ellison Institute of Technology

Interdisciplinary R&D translating science into products

Scientist, Photosynthesis Assay Development

Life Sciences ResearchConfirmed live in the last 24 hours
Full-timeOxford, UK

About the Job

Requirements

  • A completed PhD in plant physiology, plant molecular biology, plant synthetic biology, plant biochemistry, or a related discipline.
  • Demonstrated experience measuring photosynthetic performance using chlorophyll fluorescence approaches, including PAM fluorometry and interpretation of parameters such as PSII efficiency, electron transport rate (ETR), non-photochemical quenching (NPQ), and related photosynthetic traits.
  • Demonstrated experience measuring photosynthetic performance across one or more photosynthetic systems, such as intact plants, leaf discs, plant cell cultures, algae, or cyanobacteria.
  • Experience designing robust, reproducible, and scalable experimental workflows for evaluating photosynthetic traits.
  • Strong proficiency in molecular biology, including PCR, primer and construct design, molecular cloning, nucleic acid and protein extraction, gel electrophoresis, and immunodetection.
  • Strong skills in experimental design, data analysis, statistical evaluation, and visualisation.
  • Demonstrated ability to conduct independent research to a high standard and publish results in peer-reviewed journals.
  • Must be eligible to work in the UK.
  • Must be based in, or within easy commuting distance of, Oxford.
  • Willingness to travel as necessary.
  • Some longer hours and work across multiple time zones may be required during peak periods.

Responsibilities

  • Develop, optimise, and scale experimental platforms for evaluating the effects of engineered protein variants on photosynthetic performance.
  • Develop and apply robust photosynthetic phenotyping assays, plant expression systems, molecular biology, and plant biochemistry approaches.
  • Use experimental design and troubleshooting to establish robust, reproducible, and scalable workflows for high-throughput evaluation of candidate proteins.
  • Generate insights that inform go/no-go decisions for downstream crop transformation and validation.
  • Work closely with computational scientists, protein engineers, and plant biologists to translate candidate variants into experimentally testable hypotheses.
  • Contribute to publications and intellectual property generation and help translate research into real-world and commercial solutions.
  • Collaborate with cross-functional teams to incorporate cutting-edge research techniques into experiments.
  • Support photosynthetic characterisation of transformed crop plants as candidate traits progress through the validation pipeline.
  • Present scientific work at team seminars and external meetings, and contribute to institute-wide discussions on developments in the field.
  • Collaborate with experts in artificial intelligence, automation, and generative biology across the institute.
  • Draft scientific papers and contribute to preparing publications.
  • Assist in translating scientific results into commercial opportunities.
  • Identify opportunities for intellectual property creation, cooperate in patent protection, and contribute to impact delivery.

Desired Qualifications

  • Demonstrated experience working with a range of transient plant expression systems, including cell cultures, protoplasts, and/or Agrobacterium-infiltrated tissues.
  • Demonstrated experience measuring photosynthesis using gas exchange systems, such as LI-COR instruments, and analysing photosynthetic responses to environmental and genetic perturbations.
  • Demonstrated experience using fluorescent reporters to visualise protein expression levels and/or subcellular protein localisation.
  • Demonstrated experience in genetic engineering across a range of plant species, including stable transgenic approaches and CRISPR/Cas-mediated genome editing.
  • Demonstrated experience in advanced microscopy analysis and imaging of plant cells or tissues using light, fluorescence, and confocal microscopy techniques.
  • Experience analysing large biological datasets using Python and/or R.
  • Experience preparing, processing, or analysing next-generation sequencing datasets.

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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