Principal Data Scientist
Core
Technical authority for end-to-end signal processing and inference chains, transforming raw optical interference signals into clinically meaningful measurements of cerebral blood flow, intracranial pressure, and autoregulation.
Role type
Principal Data Scientist (Senior IC)
Builds
Non-invasive neuromonitoring technology (CoMind One) for diagnosing and treating brain disorders
Domain
Medical devices / Neurophysiology / Photonics
Deliverable
production ML models
Required skills
Physiological time-series signal processing, algorithmic work from research to production, calibration and cross-instrument comparability, noise modeling and error budgets, scientific output (publications/patents), uncertainty quantification, methodological direction setting
Preferred skills
Neuroscience/neuromonitoring background, optical signal processing (LiDAR, NIRS, laser doppler flowmetry), regulated industry experience (medical devices/pharma)
Technologies
Optical interference signals, physiological time-series data
Responsibilities
Set methodological direction for estimation, signal extraction, and ML modelling; own signal processing programmes from research to validated production; derive performance bounds from instrument and noise models; handle uncertainty and calibration strategies; set standards for reproducibility and code review; act as primary technical reviewer for research reports and evaluation methodology; mentor team members; contribute to IP and publication strategy
Seniority
Principal, technical authority & mentorship