{"id":1594860,"url":"https://alion.io/job/comind-principal-data-scientist-2","title":"Principal Data Scientist","company":{"id":450356,"name":"CoMind","domain":"comind.io","url":"https://alion.io/company/comind-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":114000,"max":190000,"currency":"GBP","period":"year","gross":null,"usd_annual":251441},"salary_estimate":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-10-01T12:55:18Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-07T01:05:46Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"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.\nThe Role\nThe Data Science team at CoMind develops the algorithms and machine learning systems that transform raw optical interference signals from CoMind One into continuous, clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation. Working at the frontier of photonics, physiology, and applied ML, the team's work directly determines what CoMind One can measure, how accurately, and under what clinical conditions.\nAs Principal Data Scientist, you will be a technical authority for CoMind's data science function, setting methodological direction for signal condition and extraction, personally driving the most complex and highest-impact problems, and providing expert guidance on data science best practice across the team. This is a senior individual contributor role: you will not manage people directly, but your technical leadership will shape how the entire team approaches its most challenging problems. You will work closely with R&D, Clinical, and Software Engineering.\nAt CoMind, all team members work at least 4 days per week from our new Kings Cross offices, plus a flexible work-from-home day.\nResponsibilities:\nAct as the technical authority for the end-to-end signal processing and inference chain for CoMind’s technologies: from raw optical data through to clinical measurements\n\nSet the methodological direction for estimation, signal extraction and ML modelling across the team: which approaches suit which problems, how they are evaluated, and what evidence is required before a method is trusted.\n\nOwn signal processing and analysis programmes from research through to validated, production-quality implementations with Software Engineering.\n\nDerive achievable performance bounds from instrument and noise models, and use them to drive algorithm selection, requirement setting and design trade-offs\n\nOwn how the team handles uncertainty and calibration - inference methods appropriate to small clinical cohorts, per-patient estimation with quantified uncertainty, and calibration strategies that make measurements comparable across devices, sessions and patients.\n\nSet the standard for how the data science function works: reproducibility, analysis and code review, experiment design, dataset governance and ground-truth definitions\n\nAct as the primary technical reviewer and expert resource across the research organisation, reviewing technical reports, analysis plans and evaluation methodology, and holding the bar for methodological rigour and scientific integrity.\n\nIdentify and introduce new, best-practice methods from estimation, inference and measurement science in adjacent fields.\n\nAct as a mentor to members of the Data Science teams and across the wider business\n\nContribute to CoMind's IP and publication strategy, authoring and reviewing technical papers, patent applications and regulatory documents.\n\nAI 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.\nSkills & Experience:\n15+ years of experience in data science, ML, or applied research, with a strong track record of independent technical leadership on complex, ambiguous problems\n\nA career working to extract small signals from noisy, complex physiological systems, and developing and deploying physical models of those systems to support those efforts.\n\nDeep expertise in physiological time-series signal processing methodologies.\n\nA demonstrated ability to take algorithmic work from research concept through to production-quality, validated implementations in shipped product.\n\nDesigning device performance evaluation methods where no prior gold-standard exists: simulating physical systems, running sensitivity analysis, identifying failure modes, and developing signal processing solutions to address those challenges.\n\nExtensive experience owning calibration and cross-instrument comparability work that involved noise models, error budgets, and evaluation of experimental data\n\nStrong record of scientific output: publications, patents, or equivalent evidence of original technical contribution and domain authority\n\nNice to Have:\nBackground in neuroscience, neuromonitoring, or cerebrovascular physiology\n\nExperience with optical signal processing - e.g. LiDAR, pulse oximetry, NIRS, laser doppler flowmetry, or related technologies\n\nExperience in a regulated industry (medical devices, diagnostics, pharma, or similar), with familiarity of algorithm validation and documentation requirements for software as a medical device\n\nBenefits:\nCompany equity plan so all employees share in the success of the company\n\nSalary-sacrifice pension scheme\n\nPrivate medical, dental and vision insurance (medical history disregarded)\n\nGroup life assurance at 4x annual income\n\nComprehensive mental health support, including unlimited access to 1:1 sessions with trained professionals\n\nUnlimited holiday allowance (+ bank holidays) and one week of remote working per quarter\n\nLunch voucher (£10) every day for JustEat and free dinner on those days where you need to work later\n\nTwice weekly deliveries of fresh fruit and an extensive selection of snacks and drinks\n\nYuLife subscription, allowing you to turn your daily steps and meditation into discounts at a range of stores\n\nAccess to Udemy for upskilling and professional development\n\n Disclaimer - We use Granola, an AI notetaker, throughout our interview process to help capture notes. It's used only for note-taking during the conversation. Transcripts aren't saved to shared drives or stored externally. Let us know if you'd prefer we don't.","description_format":"text","description_chars":6040,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T17:28:20Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":68,"reasons":["conf:1","velocity","win:early"],"computed_at":"2026-10-06T05:45:30Z"},"pay":{"stated_usd_annual":251441,"is_top_pay":true},"html_url":"https://alion.io/job/comind-principal-data-scientist-2","json_url":"https://alion.io/job/comind-principal-data-scientist-2.json","meta":{"generated_at":"2026-10-07T02:45:33Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4299,"day_limit":5000,"remaining_today":701,"minute_limit":60,"resets_at":"2026-10-08T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":450356},"rest":"https://alion.io/mcp/rest/get_company?id=450356"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fcomind-principal-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fcomind-principal-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fcomind-principal-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/comind-principal-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fcomind-principal-data-scientist-2"}]}