Overview

As a 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 on analyzing multidimensional time-series datasets collected by our next-generation neural sensor in both clinical trial and in-house experimental settings.

Responsibilities

• Conduct 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 and cerebral autoregulation.
• Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data.
• 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 visualizations for both technical and non-technical stakeholders.
• Participate in internal research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.

Skills & Experience

• Strong background in physiological signal analysis, ideally with experience in neurophysiology, cerebral hemodynamics, or related areas.
• Proficient in applying statistical modeling and machine learning techniques (e.g., time-series modeling, feature extraction, classification) to biological/medical datasets.
• More than 2 years of experience in a research or applied data science role, ideally involving cross-disciplinary collaboration with clinical or 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

• Experience with signal analysis in the context of wearable or medical devices.
• Strong understanding of physical principles associated with optical spectroscopy, interferometry, and related techniques.
• Familiarity with regulatory environments (e.g., FDA, CE-marked devices).
• Exposure to optical sensor design, photon migration modeling, or neuroimaging.

Benefits

• Company equity plan
• Company pension scheme
• Private medical, dental, and vision insurance
• Group life insurance
• Comprehensive mental health support and resources
• Unlimited holiday allowance (+ bank holidays)
• Weekly lunches
• Breakfast and snacks provided