We're looking for a Head of Scientific Automation, Robotics & AI to lead the transformation of three advanced research laboratories into scalable, data rich, AI driven research platforms.
About the Company:
The company builds technologies that push past the limits of human biology in reproduction, genome and cognition. The team works across some of today's most ambitious research programs: in vitro gametogenesis, ectogenesis, genome engineering and non-invasive brain-computer interfaces. Scientists, embryologists, engineers, physicists, bioinformaticians, materials specialists and lab operations experts are building the foundation for autonomous research laboratories: places where experiments are designed, run, monitored, analyzed and improved through a tight loop between scientists, instruments, robots, software and models.
Why this could be interesting:
Three frontier research labs going through a full transformation into scalable, data rich, AI driven platforms.
A rare chance to build an autonomous research workflow from the ground up: lab automation, robotics, LIMS/ELN, ML models and AI agents that suggest the next experiment.
Close, hands on collaboration with scientific leads working on questions that shape the future of biology and neurotechnology.
A role with real influence over the research infrastructure of the whole company.
About the role:
You will work across laboratories focused on ectogenesis, in vitro gametogenesis and non-invasive BCI. The mission: understand how scientific work happens today, find where automation and AI can meaningfully speed up discovery, and integrate the systems that make it possible.
At its core, this is about turning intricate scientific work into closed loop experimental systems, where experiments become easier to design, run, monitor, analyze and improve through automation, robotics, quality data capture, ML models and AI agents. The long term direction is highly autonomous experiments: scientists set the research direction and hypotheses, while automated systems help plan protocols, run instruments, collect data, catch failures, analyze results and suggest what to try next.
You will work closely with scientific leads and build the technology layer that accelerates their work: lab automation, robotic workflows, instrument integration, LIMS/ELN, data pipelines, experiment tracking, ML models, active learning systems, digital twins and AI agents for scientific operations.
The ideal person can step into a frontier research environment, understand both the scientific ambition and the practical bottlenecks, and turn all of it into an executable automation and AI roadmap.
What We're Looking For:
5+ years leading lab automation, robotics or AI/ML infrastructure in biotech, pharma, life sciences, neurotechnology or another advanced experimental environment
Regular business trips to London should be expected, with no restrictions on frequency
Good understanding of wet lab workflows and the ability to work closely with scientists, research associates, lab managers and engineering teams
Experience with lab automation systems such as liquid handlers, robotic arms, automated imaging, incubators, sensors, assay platforms or custom instrumentation
Solid technical grasp of ML applications in experimental science: computer vision, time series analysis, Bayesian optimization, active learning, anomaly detection, digital twins
Experience building or integrating LIMS, ELN, data pipelines, experiment tracking systems or scientific data platforms
Good systems thinking: the ability to connect instruments, protocols, data, models, people and scientific goals into one scalable operating model
Experience hiring, managing or coordinating multidisciplinary teams across software, hardware, robotics, data, ML and lab operations
High tolerance for ambiguity and frontier science: comfortable creating structure where protocols, data formats and workflows are still evolving
What’s in it for you?
Compensation is competitive and will be discussed based on your expectations and experience.
Priority locations: Portland, Vancouver (Washington state) or the US in general, and Montreal; relocation within the US is possible.
A genuinely great team: scientists, embryologists, engineers, physicists and lab operations specialists all working shoulder to shoulder on some of the most ambitious problems in biology and neurotechnology.
A product and mission worth being proud of: building the foundation for autonomous research labs, at the actual frontier of reproduction, genome and cognition research, not a simulation of it.
Direct, hands on ownership of the automation and AI roadmap across three labs, with room to shape the operating model from scratch.