Head of Scientific Automation, Robotics & AI

Company

Advanced research programs are developing technologies in reproduction, genome engineering, cognition, and neurotechnology.

What you will do

• Lead the automation and AI transformation of three frontier research laboratories.
• Build an integrated technology layer spanning robotic workflows, instruments, LIMS/ELN, data pipelines, and experiment tracking.
• Develop closed-loop experimental systems that support protocol planning, instrument execution, data collection, failure detection, and result analysis.
• Apply ML methods including computer vision, time-series analysis, Bayesian optimization, active learning, anomaly detection, and digital twins.
• Shape the long-term roadmap for AI agents that recommend experiments and accelerate scientific discovery.
• Hire, manage, and coordinate multidisciplinary teams across software, hardware, robotics, data, ML, and laboratory operations.

Requirements

• 5+ years of experience leading lab automation, robotics, or AI/ML infrastructure in biotech, pharma, life sciences, neurotechnology, or another advanced experimental environment.
• Strong understanding of wet-lab workflows and experience collaborating with scientists, research associates, lab managers, and engineering teams.
• Experience with liquid handlers, robotic arms, automated imaging, incubators, sensors, assay platforms, or custom instrumentation.
• Experience building or integrating LIMS, ELN, scientific data platforms, data pipelines, or experiment tracking systems.
• Strong systems thinking and the ability to connect instruments, protocols, data, models, people, and scientific goals.
• Comfort working in ambiguous frontier-science environments where protocols, data formats, and workflows are still evolving.

Nice to have

• Experience with computer vision, time-series analysis, Bayesian optimization, active learning, anomaly detection, or digital twins for experimental science.
• Background in ectogenesis, in vitro gametogenesis, genome engineering, or brain-computer interfaces.

Culture & Benefits

• Hands-on ownership of the automation and AI roadmap across three laboratories.
• Close collaboration with scientists, embryologists, engineers, physicists, and laboratory operations specialists.
• Opportunity to build the operating model and autonomous research infrastructure from the ground up.
• Competitive compensation discussed according to experience and expectations.
• Regular travel to London with no stated frequency restriction.