Ceribell, Inc
Ceribell is seeking a data scientist/algorithm engineer to design and develop cutting‑edge classification algorithms for EEG neurodiagnostics. The role involves applying time‑series analysis, signal processing, and machine learning to biomedical data, collaborating with clinical and business stakeholders, and ensuring regulatory compliance.
Headquarters
Sunnyvale, California, United States
Company Size
51-200 employees
Founded
2014
Ceribell develops point-of-care EEG systems that let clinicians triage and continuously monitor hospital patients at risk for seizures in minutes. Their portable bedside solutions simplify setup and interpretation so teams can rapidly detect status epilepticus and occult seizures in ICUs, emergency departments, and other acute-care settings. By reducing time-to-diagnosis and avoiding delays from traditional EEG lab workflows, Ceribell helps guide treatment decisions, improve clinical outcomes, and streamline hospital workflows. Hospitals choose Ceribell for rapid deployment, clinician-focused design, and real‑time seizure detection.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Ceribell, Inc.
30% above the average for this role
CenterBook Partners LP Increases Stake in CeriBell, Inc. $CBLL
3 weeks ago
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