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:

• Lead the development and delivery of novel signal processing and machine learning models to interpret physiological signals, e.g. time series regression, classification and outliers detection
• Lead exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases
• Design and validate algorithms for denoising, signal demixing, and interpretation of neuromonitoring data
• Write high-quality, well-tested Python code that meets industry standards.
• Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows
• Deliver signal processing methodologies ready for translation into medical device products
• Produce clear and insightful white papers, documentation, and visualisations for both technical and non-technical stakeholders
• Participate in research planning by gathering requirements, scoping work items, and contributing to roadmap discussions.

Skills & Experience

• Proven track record in applying machine learning / deep learning techniques for time-series, physiological signals or continuous sensor data

• 4 years of experience in a research or applied data science role, ideally involving cross-disciplinary collaboration with clinical or experimental teams

• A deep understanding of digital signal processing concepts such as sampling and quantisation, spectral analysis, etc
• Fluent in Python and expert in industry-standard tools for version control, data engineering, CI/CD 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 and pipeline design for time series data in the context of wearable or medical products
• Hands-on experience in software engineering
• Familiarity with regulated development processes (e.g. SaMD)
• Strong understanding of neurological and cardiovascular signals
• Strong background in biostatistics
• Strong understanding of the physical principles associated with optical spectroscopy, interferometry, and related techniques.

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
• Free lunch twice per week via JustEat and free dinner on those days where you need to work later
• Twice weekly deliveries of fresh fruit and a comprehensive 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