Principal Data Scientist (Neuromonitoring)

Location: London, UK; on-site at least four days per week from the Kings Cross offices, with one flexible work-from-home day

Salary: £114K–£190K, plus equity

Company

hirify.global develops non-invasive neuromonitoring technology for clinical brain monitoring, combining photonics, physiology, and applied machine learning to improve the diagnosis and treatment of brain disorders.

What you will do

• Provide technical authority for the end-to-end signal-processing and inference chain, from raw optical data to clinical measurements.
• Set methodological direction for estimation, signal extraction, machine-learning modelling, evaluation, and evidence requirements.
• Lead signal-processing and analysis programmes from research through validated, production-quality implementations with Software Engineering.
• Derive performance bounds from instrument and noise models to guide algorithm selection, requirements, and design trade-offs.
• Own uncertainty, calibration, cross-device comparability, reproducibility, experiment design, dataset governance, and ground-truth definitions.
• Review technical reports, analysis plans, and evaluation methodologies; mentor data scientists and contribute to publications, patents, IP, and regulatory documents.

Requirements

• 15+ years of experience in data science, machine learning, or applied research, with independent technical leadership on complex problems.
• Experience extracting small signals from noisy physiological systems and developing physical models of those systems.
• Deep expertise in physiological time-series signal processing.
• Ability to take algorithmic research from concept to validated, production-quality implementations in shipped products.
• Experience designing device-performance evaluations without an established gold standard, including physical-system simulation, sensitivity analysis, failure-mode identification, and signal-processing solutions.
• Strong scientific output through publications, patents, or equivalent original technical contributions; experience with calibration, noise models, error budgets, and experimental-data evaluation.

Nice to have

• Background in neuroscience, neuromonitoring, or cerebrovascular physiology.
• Optical signal-processing experience, such as LiDAR, pulse oximetry, NIRS, or laser Doppler flowmetry.
• Experience in a regulated industry, including medical devices, diagnostics, or pharma, with familiarity with software-as-a-medical-device algorithm validation and documentation.

Culture & Benefits

• All team members work at least four days per week from the Kings Cross offices, with one flexible work-from-home day.
• Company equity plan, salary-sacrifice pension, private medical, dental and vision insurance, and group life assurance at four times annual income.
• Unlimited holiday allowance plus bank holidays, and one week of remote working per quarter.
• Mental health support with unlimited access to one-to-one sessions with trained professionals.
• Daily lunch vouchers, free dinners when working late, fresh fruit, snacks, drinks, and access to Udemy for professional development.
• AI is a core part of the working culture, with an expectation that team members use it effectively in daily work.

Hiring process

• Interviews may be recorded using Granola for note-taking; transcripts are not saved to shared drives or stored externally.