Your 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, validation of phenotyping and automation tools, and performance optimization. Lead the data strategy and validation of predictive ML models to optimize transformation efficiency and regeneration success
• Partner with AIR and data engineering teams to establish robust data pipelines for predictive modelling using multilayer phenotyping and automation data in high-throughput transformation pipelines
• Provide scientific and project leadership to researchers and engineers in applied AI/ML and automation engineering within a matrix team structure
• Co-develop and manage project plans, timelines, and reporting frameworks to ensure delivery of technical milestones and progression towards deployable products
• Provide oversight and accountability within PBI for this matrixed project team ensuring alignment with institutional priorities and commitments
• Engage stakeholders across transformation team, wider PBI, AIR, 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 cutting edge applied technologies to develop commercial products
• Present scientific work at seminars within EIT and at external meetings or conferences, including contributing to laboratory-wide discussions on developments within the field.
• To assist in mentoring graduate students and other members of the research group where appropriate
• Collaborate with experts at the forefront of research on AI, automation, and generative biology across the EIT ecosystem.
• Provide regulate structure reporting on progress, risks and delivery status
• To assist in the translation of scientific results into publications, commercial opportunities consistent with the EIT humane endeavors
• Recognise the acting on opportunities for the creation of IP and cooperating in patent protection and in impact delivery
• Experience moving innovations beyond proof of concept and towards validated, scalable and impactful products
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