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. THE ROLE: 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 - Owning and leading 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. - 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: - 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 - >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 neurop