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Principal Data Scientist

CoMind· R&D
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London, UKFull-timePosted 2w ago

About the role

Senior data science role at CoMind responsible for setting methodological direction, leading end-to-end signal processing and ML for cerebral measurements from optical data, with a focus on uncertainty, calibration, and production-quality implementations. On-site in London with flexible remote day.

Responsibilities

  • 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 measurements
  • Set 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 implementations with Software Engineering.
  • Derive achievable performance bounds from instrument and noise models, and use them to drive algorithm selection, requirement setting and design trade-offs
  • Own how the team handles uncertainty and calibration — inference methods appropriate to small clinical cohorts, per-patient estimation with quantified uncertainty, and calibration strategies that make measurements comparable across devices, sessions and patients.
  • Set the standard for how the data science function works: reproducibility, analysis and code review, experiment design, dataset governance and ground-truth definitions
  • Act as the primary technical reviewer and expert resource across the research organisation, reviewing technical reports, analysis plans and evaluation methodology, and holding the bar for methodological rigour and scientific integrity.
  • Identify and introduce new, best-practice methods from estimation, inference and measurement science in adjacent fields.
  • Act as a mentor to members of the Data Science teams and across the wider business
  • Contribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications and regulatory documents.

Qualifications

  • 15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems
  • A career working to extract small signals from noisy, complex physiological systems, and developing and deploying physical models of those systems to support those efforts
  • Deep expertise in physiological time-series signal processing methodologies
  • A demonstrated ability to take algorithmic work from research concept through to production-quality, validated implementations in shipped product
  • Designing device performance evaluation methods where no prior gold-standard exists: simulating physical systems, running sensitivity analysis, identifying failure modes, and developing signal processing solutions to address those challenges
  • Extensive experience owning calibration and cross-instrument comparability work that involved noise models, error budgets, and evaluation of experimental data
  • Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority

Skills

Required:Data science leadershipPhysiological time-series signal processingProduction-quality algorithm development

Benefits

  • Company equity plan so all employees share in the success of the company
  • Salary-sacrifice pension scheme
  • Private medical, dental and vision insurance (medical history disregarded)
  • Group life assurance at 4x annual income
  • Comprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals
  • Unlimited holiday allowance (+ bank holidays) and one week of remote working per quarter
  • Lunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later
  • Twice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks
  • YuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores
  • Access to Udemy for upskilling and professional development
Last updated Oct 7, 2026. Interested? Apply on the company site.

About CoMind

The Future of Neurotechnology is Non-Invasive

Our mission is to redefine the way the brain is measured and treated to optimise patient outcomes across the care continuum.

NeurotechnologyMedical DevicesNon-Invasive
Company profileWebsite

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