Senior/Staff 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!

We are looking for a talented data scientist/algorithm engineer who is passionate about biomedical applications and has a strong background in machine learning, pattern recognition, signal processing and time-series analysis. The successful candidate will join the data science team and will be responsible for design and development of new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level.  This position is based at our Sunnyvale office with a hybrid 2X week in -office work schedule. For candidates who are not local, we are open to remote work, with the expectation of traveling to headquarters once a month. Travel will generally be required from Tuesday to Thursday, though occasional changes to this schedule may occur depending on collaboration needs or important meetings.

• 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.
• Stay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-art
• Document and validate models and perform statistical analysis to comply with regulatory requirements for medical device algorithms

• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines
• 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
• 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 and manage complex technical projects from concept to deployment