Senior/Staff Data Scientist at Ceribell in Sunnyvale, CA

Job description

• 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.

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

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

Skills

Required

• Machine learning
• Pattern recognition
• Signal processing
• Time-series analysis
• Statistical data analysis
• Feature engineering
• Algorithm development
• Biological signal processing
• Strong analytical skills
• Detail-oriented
• Collaborative
• Ability to work independently

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!
• A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.