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Principal Data Scientist

CompraTica Empleos

EMP:Technology
London, UK
Tiempo Completo
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Descripción

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 RoleThe 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 a technical authority for CoMind's data science function, setting methodological direction for signal condition and extraction, personally driving the most complex and highest-impact problems, and providing expert guidance on data science best practice 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.

Responsabilidades

:Act as the technical authority for the end-to-end signal processing and inference chain for CoMind’s technologies: from raw optical data through to clinical measurementsSet the methodological direction for estimation, signal extraction and ML modelling across the team: which approaches suit which problems, how they are evaluated, and what evidence is required before a method is trusted.Own signal processing and analysis programmes from research through to validated, production-quality impleme...

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