Principal Data Scientist

CoMind; Greater London; Hybrid; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Company equity

Private medical

Dental and vision insurance

Group life assurance

Mental health support

Unlimited holiday + remote day

Lunch voucher

Fresh fruit and snacks

Udemy for upskilling

Job summary

CoMind, a pioneer in non-invasive neuromonitoring, seeks a Principal Data Scientist to define methodological direction for signal processing and ML, and to drive the most complex, high-impact problems from research to production.

You will lead technical strategy, set standards for uncertainty handling, and collaborate across R&D, Clinical and Software Eng.) All team members work from our Kings Cross office at least four days a week with one flexible remote day, contributing to cutting-edge brain

Qualifications

• 15+ years of experience leading data science, ML or applied research on complex problems.
• Experience extracting signals from noisy physiological systems and deploying physical models.
• Deep expertise in physiological time-series signal processing methods.
• Proven ability to translate research concepts into production-quality, shipped implementations.
• Experience designing device evaluation methods, simulations, sensitivity analyses, and failure modes.
• Track record of scientific output: publications, patents, or equivalent.

Responsibilities

• Act as the technical authority for end-to-end signal processing and inference for CoMind technologies.
• Set methodological direction for estimation, signal extraction and ML across the team and evaluate approaches.
• Own signal processing programmes from research through production-quality implementations with Software Engineering.
• Derive performance bounds from instrument models to guide design trade-offs.
• Own how uncertainty and calibration are handled, including per-patient estimation with quantified uncertainty.
• Set standards for reproducibility, analysis and code review, experiment design and dataset governance.
• Review technical reports, evaluation methodology, and maintain scientific integrity across the team.
• Introduce best-practice methods from estimation and measurement science in adjacent fields.
• Mentor Data Science team members and contribute to broader business knowledge.
• Contribute to IP and publication strategy, including technical papers and regulatory documents.

Skills

15+ years DS

Physiological time-series

ML & applied research

Production-quality deployment

Signal processing

Calibration & cross-instrument

Publications/patents

Job description

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 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.

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.

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.

Skills & Experience:

• 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

Nice to Have:

• Background in neuroscience, neuromonitoring, or cerebrovascular physiology
• Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies
• Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity of algorithm validation and documentation requirements for software as a medical device

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

Disclaimer - We use Granola, an AI notetaker, throughout our interview process to help capture notes. It's used only for note‑taking during the conversation. Transcripts aren't saved to shared drives or stored externally. Let us know if you'd prefer we don't.