Data Scientist

Ceribell•Sunnyvale, CA

1d•$184,000 - $199,000

About The Position

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! Position Overview : 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.

Requirements

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

Nice To Haves

Strong preference for experience in neurodiagnostics or EEG data processing and algorithm development

Responsibilities

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

Benefits

Performance-based incentive compensation (varies by role)
Equity opportunities
100% Employer paid Health Benefits for Employees
50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
100% paid Life and Long-Term Disability Insurance
401(k) with a generous company match
Employee Stock Purchase Plan (ESPP) with a discount
Monthly cell phone stipend
Flexible paid time off
13 Paid Holidays + 3 Company Wellness Days
Excellent parental leave policy
Fantastic culture with tremendous career advancement opportunities
Joining a mission-minded organization!