Principal Data Scientist

Comind · London, UKsenior

En corto

▸Científico de datos principal que desarrolla algoritmos de IA para convertir señales ópticas en mediciones clínicas del cerebro.
▸Trabajas en problemas técnicos clave, validas modelos y lideras métodos en un entorno regulado de dispositivos médicos.
▸Rol de liderazgo técnico sin gestión directa, con impacto global en un dispositivo que monitorea el cerebro sin invasión.

All team members are expected to embrace AI in their daily work and continuously find new

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¿Qué piden?

✓15+ años de experiencia en ciencia de datos o ML con liderazgo técnico independiente.
✓Experto en procesamiento de señales en tiempo real y ML fisiológico con datos ruidosos.
✓Experiencia probada en llevar algoritmos de investigación a implementaciones validadas y de producción.
✓Conocimiento en industrias reguladas (dispositivos médicos, diagnósticos, farmacéutica) y validación de algoritmos.
✓Historial comprobado de publicaciones, patentes o contribuciones técnicas originales.
✓Capacidad para definir estrategias de recolección y etiquetado de datos con equipos clínicos.

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machine learningsignal processingtime-series analysisphysiological modelingAI/ML validationsoftware as a medical device (regulatory documentationFDA pathwaysneurophotonicsoptical interference signals

¿A quién escribirle en Comind?

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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 team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions. As Principal Data Scientist, you will be the technical authority for CoMind's data science function, setting methodological direction for signal extraction and ML modelling, personally driving the most complex and highest-impact problems, and providing expert guidance across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering. 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 technical direction for signal processing and ML model development on CoMind One, defining approaches, architectures, and evaluation frameworks that set the standard for the team Lead the development and validation of the most complex data science components, from novel algorithm design through to evidence generation for regulatory submissions Act as the primary technical reviewer and expert resource across the data science team, setting the bar for methodological rigour, reproducibility, and scientific integrity Drive the design and execution of data collection and labelling strategies with Clinical teams, including ground truth definition, dataset governance, and performance benchmarking Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications, and regulatory documents Represent the data science function in cross-functional technical forums, architecture reviews, and external scientific and clinical engagements Identify and introduce new methods, tools, and approaches that advance CoMind's signal extraction and ML capabilities AI is fundamental to our culture. It's not just a tool, but a core part of how we work, collaborate, and innovate. We expect all team members to embrace AI in their daily work and continuously find new ways to use it effectively. g. Benefits: Company equity plan so all employees share i

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