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Ellison Institute of Technology

Interdisciplinary R&D translating science into products

AI & Automation Lead for Plant Transformation

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

About the Job

Requirements

  • A PhD in Plant Molecular Biology, Developmental Biology, or Plant Biotechnology is required.
  • Background in crop transformation enabling technologies in an industrial or academic setting.
  • Strong expertise in plant regeneration, morphogenesis, and transformation systems for elite lines or recalcitrant crops.
  • Experience manipulating developmental regulators to enhance regeneration and transformation efficiency.
  • A track record of innovation in transformation or regeneration biology.
  • Ability to translate mechanistic biology into practical applications.
  • Experience with planning and management tools such as spreadsheets, Microsoft Planner, LIMS, ELN, or Confluence.
  • Demonstrated experience in project leadership, cross-functional team coordination, and delivery accountability.
  • Understanding, or willingness to understand, the path to impact for the research area and, where appropriate, consideration of user feedback and market research when designing research experiments.
  • Ability to build internal and external relationships and collaborate with people outside the candidate's discipline.
  • Clear problem-solving skills.
  • Excellent problem-solving, communication, and collaboration skills.
  • Excellent written communication and report-writing skills.

Responsibilities

  • Provide plant sciences subject matter expertise to design, develop, and implement automated robotic systems for transformation and tissue culture workflows.
  • Co-develop computer vision systems for the transformation pipeline, validate phenotyping and automation tools, and optimize performance; lead data strategy and validate predictive machine-learning models to optimize transformation efficiency and regeneration success.
  • Partner with AI and Robotics and data engineering teams to establish robust data pipelines for predictive modeling using multilayer phenotyping and automation data in high-throughput transformation pipelines.
  • Provide scientific and project leadership to researchers and engineers in applied AI/machine learning and automation engineering within a matrix team structure.
  • Co-develop and manage project plans, timelines, and reporting frameworks to deliver technical milestones and progress toward deployable products.
  • Provide oversight and accountability within the Plant Biology Institute for the matrixed project team, ensuring alignment with institutional priorities and commitments.
  • Engage stakeholders across the transformation team, the wider Plant Biology Institute, AI and Robotics, and external partners to ensure transparent communication, progress reporting, and expectation management; contribute to long-term digital transformation strategy.
  • Deploy automated robotic systems for transformation and tissue culture workflows.
  • Collaborate with cross-functional teams to incorporate applied technologies into commercial product development.
  • Present scientific work at seminars within the institute and at external meetings or conferences, and contribute to laboratory-wide discussions on developments in the field.
  • Assist in mentoring graduate students and other members of the research group where appropriate.
  • Collaborate with experts in AI, automation, and generative biology across the institute ecosystem.
  • Provide structured reporting on progress, risks, and delivery status.
  • Assist in translating scientific results into publications and commercial opportunities consistent with the institute's mission.
  • Recognize opportunities for intellectual property creation and cooperate in patent protection and impact delivery.
  • Move innovations beyond proof of concept toward validated, scalable, and impactful products.

Desired Qualifications

  • Experience in plant biology or controlled-environment automation systems.
  • Experience with computer vision in biological imaging contexts.
  • Experience integrating hardware, software, and biological workflows.
  • Experience leading matrixed or cross-institutional project teams.
  • Experience progressing research platforms toward product development.

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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