Senior Optical Research Scientist

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 Optical Research Scientist at CoMind, you will join a highly interdisciplinary team working at the interface of optics, engineering, neuroscience, data science, and clinical neuromonitoring.This is a hands-on senior scientific role. You will design, run, troubleshoot, and analyse experiments using prototype and production-ready optical systems, while also taking ownership of scientific workstreams that support the development, verification, validation, and optimisation of CoMind’s neuromonitoring technology.The role is ideal for an experienced experimentalist who enjoys working directly with optical systems, physiological measurements, and tissue-mimicking phantoms, while also being comfortable making technical decisions, coordinating with cross-functional teams, and communicating scientific findings clearly.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 and directly contribute to laboratory, phantom, benchtop, and in-vivo testing of new optical neuromonitoring systems and methodsOwn defined experimental workstreams from planning and protocol development through execution, analysis, documentation, and communication of resultsDevelop and validate tissue-mimicking phantoms and experimental setups used to assess optical system performancePerform in-vivo optical measurements on healthy volunteers, including subject setup, data acquisition, signal quality assessment, and interpretation of physiological responsesGenerate and analyse high-quality experimental datasets to support product development, system validation, and data science / machine learning activitiesInvestigate device performance, signal quality, system limitations, and failure modes using structured troubleshooting and data-driven analysisSummarise findings, compile technical reports, and present results to research, product, engineering, clinical, and leadership teamsWork closely with cross-functional teams to inform design decisions, support verification and validation activities, and ensure experimental evidence is translated into product and technical decisionsProvide technical guidance to less experienced team members and help maintain high standards of experimental practice, documentation, and scientific rigourAI 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