Senior Data Scientist (Clinical)

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.

As a Senior Clinical Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be acting as a technical leader in the investigation and analysis of multidimensional time-series datasets collected by our neuromonitoring technologies in both clinical trial and in-house experimental settings. You will play a lead role in leveraging these novel physiological and optical signals to extract new, actionable insights that inform product development and clinical decision-making. Working closely with clinicians, neurophysiologists, physicists, and engineers, you will help refine algorithms to extract meaningful metrics of brain function, blood flow, and autoregulation and validate signal quality in real-world use.

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

• Provide technical leadership of clinical / neurophysiological data analysis workstreams.
• Own and lead workstreams, defining scope, deliverables, and timelines, and ensuring alignment with project and company milestones.
• Lead exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases.
• Develop, prototype, and apply signal processing and machine learning models to interpret physiological signals such as cerebral blood flow, cerebral autoregulation and derive actionable clinical insights.
• Coordinate and support team members within your workstreams, providing technical guidance, reviewing outputs, and ensuring that deadlines and deliverables are met to the required standard.
• Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows.
• Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways.
• Produce clear and insightful white papers, documentation, and visualisations for both technical and non-technical stakeholders.
• Participate in internal research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.
• Embrace AI in daily work and continuously find new ways to use it effectively.

Skills & Experience

• A strong background in physiological time-series signal analysis across multiple signal types, ideally with experience in neurophysiological signals, cerebral hemodynamics, electrophysiology, or related areas.
• A strong understanding of the interplay between measurement and physiological/clinical inference.
• Highly proficient in applying signal conditioning, statistical modelling and machine learning techniques (e.g., time-series modelling, feature extraction, classification) to biological/medical datasets.
• More than 5 years of experience in a research or applied data science role, involving cross-disciplinary collaboration with clinical and experimental teams.
• Fluent in Python and familiar with industry-standard tools for version control, data engineering, and reproducible research workflows.
• Comfortable working in a fast-paced, research-driven environment with a strong sense of ownership and a willingness to learn and experiment.
• Excellent written and verbal communication skills for conveying complex results clearly to technical and non-technical stakeholders.

Nice to Have

• Strong understanding of neurophysiology.
• Strong understanding of physical principles associated with optical spectroscopy, interferometry, and related techniques.
• Familiarity with regulatory environments (e.g., FDA, CE-marked devices).
• Familiarity with 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.