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Ceribell

EEG headband device for brain monitoring

Senior/Staff Data Scientist

Applied Machine LearningConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A PhD in Electrical Engineering, Computer Science, Statistics, or an equivalent discipline is required.
  • At least 3 years of relevant research and/or industry experience in signal processing, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning, and algorithm development is required.
  • Proficiency in Python, Matlab, R, or similar programming languages is required.
  • Experience and interest in biological signal processing and algorithm development for biomedical applications are required.
  • Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context, is required.
  • Ability to work independently and manage complex technical projects from concept to deployment is required.

Responsibilities

  • Use time-series analysis, statistical signal processing, and machine learning techniques to design classification algorithms for neurological indications.
  • Analyze data for trends and patterns and interpret the data with a clear objective.
  • Collaborate with business and clinical stakeholders to define project needs and communicate results of designed models and analytical solutions.
  • Select and implement appropriate evaluation metrics to assess algorithm and model performance, considering technical accuracy and clinical relevance.
  • Stay current with advancements in machine learning and neurodiagnostics to ensure algorithms are state-of-the-art.
  • Document and validate models and perform statistical analysis to comply with regulatory requirements for medical-device algorithms.

About the Company

Ceribell

EEG headband device for brain monitoring

Ceribell makes and sells medical devices that monitor brain activity in hospitals. Its main product is the Ceribell EEG Headband and Recorder, worn by patients and used by trained healthcare providers in clinical settings to collect EEG data. The device captures brain signals and stores them for clinicians to review; it does not diagnose conditions or send automated alerts, leaving interpretation and treatment decisions to physicians. The system is designed for time-sensitive situations, such as Nonconvulsive Status Epilepticus (NCSE), where rapid data can help guide urgent care. Revenue comes from selling the devices to healthcare facilities, with purchases made on physician orders as required by US law. Compared with competitors, Ceribell emphasizes fast, clinician-driven data collection for urgent neurological cases and does not replace clinical judgment with automated diagnoses or alerts.

Company size
201-500
Company stage
IPO
Headquarters
Mountain View, CA
Founded
2014

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