About the role
At CoMind, we are developing a non-invasive neuromonitoring technology that will result in a new era of clinical brain monitoring. In joining us, you will be helping to create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world.
The Role: The Data Science and ML team builds the algorithms that turn a novel optical brain signal into clinically meaningful outputs. The data comes from real ICU patients. The models will go into a regulated medical device used at the bedside. We are looking for someone with deep theoretical ML knowledge and a track record of getting models out of research and into production. At CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day.
Responsibilities: Own the design, benchmarking, and validation of ML model architectures for physiological signal inference, identifying the right approaches for a genuinely novel time-series problem Lead end-to-end delivery of ML workstreams, owning strategy, execution, and risk from problem definition through to production Develop and maintain robust training pipelines, evaluation frameworks, and reproducible experiment workflows Write production-quality Python code and prepare validated algorithm modules for handover to software engineering Work with physicists, neuroscientists, and clinicians to translate domain knowledge into modelling constraints, architecture choices, and training strategies Drive
the team's engagement with the ML research literature, identifying and evaluating relevant advances across time-series, signal processing, and adjacent fields Contribute to publications, patent disclosures, and technical documentation that build CoMind's scientific credibility AI is fundamental to our culture. It's not just a tool, but a core part of
