About the job
About Ceribell
Ceribell is a pioneering medical technology company dedicated to revolutionizing the diagnosis and management of patients suffering from severe neurological disorders. Our flagship product, the Ceribell System, is an innovative point-of-care electroencephalography (EEG) platform designed to meet the critical needs of patients in acute care settings. Our technology is currently utilized in numerous community hospitals, large academic institutions, and major integrated delivery networks across the nation. Our team shares a collective mission to enhance the critical care landscape through rapid seizure detection technology—join us in this transformative journey!
Position Overview:
We are seeking a skilled Data Scientist/Algorithm Engineer with a passion for biomedical applications, possessing a robust background in machine learning, pattern recognition, signal processing, and time-series analysis. The successful candidate will become a vital member of our data science team, tasked with the design and development of cutting-edge classification algorithms that will elevate EEG neurodiagnostics.
Key Responsibilities:
- Utilize time-series analysis, statistical signal processing, and machine learning techniques to develop classification algorithms for various neurological conditions.
- Analyze datasets to identify trends and patterns, interpreting findings with a clear objective.
- Collaborate with clinical and business stakeholders to define project requirements and effectively communicate the results of the models and analytical solutions developed.
- Select and apply suitable evaluation metrics to assess algorithm and model performance, ensuring both technical accuracy and clinical significance.
- Document and validate models while performing statistical analyses to comply with regulatory standards for medical device algorithms.
- Mentor and guide junior data scientists and interns, fostering their professional development through technical direction and support.
- Independently manage multiple projects, prioritizing tasks effectively and aligning deliverables with key milestones to ensure timely, successful outcomes.
- Stay abreast of the latest advancements in machine learning and neurodiagnostics to maintain state-of-the-art algorithms.

