Data Scientist

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN's across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

• →Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indications
• →Analyze data for trends and patterns, and interpret data with a clear objective in mind
• →Collaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designed
• →Select and implement appropriate evaluation metrics to assess the performance of algorithms and models, considering both technical accuracy and clinical relevance.
• →Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms
• →Mentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and support
• →Manage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomes
• →Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art

• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
• 7+ years of relevant research and/or industry experience in signal processing, filtering, statistical data analysis, time-series analysis, pattern recognition, feature engineering, machine learning and algorithm development
• Proficient in Python and/or Matlab and/or R or similar programming languages
• Experience and interest in biological signal processing and algorithm development for biomedical applications
• Strong analytical skills, detail-oriented and collaborative
• Experience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical context
• Proven ability to work independently, define scope and and manage complex technical projects from concept to deployment
• Experience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series data
• Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development