Principal Data Scientist

Principal Data Scientist

Full-Time 70000 - 90000 £ / year (est.) Working from home possible
CoMind

At a Glance

  • Tasks: Lead the development of innovative algorithms for non-invasive brain monitoring technology.
  • Company: Join CoMind, a pioneering company in clinical brain monitoring.
  • Benefits: Enjoy unlimited holiday, private medical insurance, and a salary-sacrifice pension scheme.
  • Other info: Flexible work options and a vibrant office culture in Kings Cross.
  • Why this job: Make a real difference in patients' lives with cutting-edge data science.
  • Qualifications: 15+ years in data science with expertise in ML and signal processing.

The predicted salary is between 70000 - 90000 £ per year.

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 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.

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.
  • Deep expertise in time-series signal processing and physiological or biomedical ML, including hands-on experience developing and validating models on noisy, real-world physiological data.
  • Demonstrated ability to take algorithmic work from research through to production-quality, validated implementation.
  • Experience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity with algorithm validation and documentation requirements for software as a medical device.
  • Strong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority.

Nice to Have:

  • Background in neuroscience, neuromonitoring, neurophotonics, and/or cerebrovascular physiology.
  • Experience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies.
  • Familiarity with FDA regulatory pathways for AI/ML-based medical devices.

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.

Principal Data Scientist employer: CoMind

CoMind is an exceptional employer, offering a unique opportunity to work at the forefront of neuromonitoring technology in a vibrant Kings Cross location. With a strong emphasis on innovation and collaboration, employees benefit from a flexible work environment, unlimited holiday allowance, and comprehensive health support, all while contributing to life-saving advancements in brain disorder treatment. The company fosters a culture of continuous learning and professional growth, ensuring that every team member can thrive and make a meaningful impact in their field.

CoMind

Contact Details:

CoMind Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Principal Data Scientist

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We think you need these skills to ace Principal Data Scientist

Machine Learning
Signal Processing
Time-Series Analysis
Biomedical ML
Algorithm Development
Data Validation
Regulatory Compliance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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Craft a Tailored Cover Letter:For a full-time role at CoMind, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at CoMind. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at CoMind

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at CoMind!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.