Senior/Staff Data Scientist

Position Overview

The position is 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 designing and developing new state-of-the-art classification algorithms that will take the field of EEG neurodiagnostics to the next level.

What you'll do

• 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

What We're Looking For

• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines with 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 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

Compensation

Compensation Range: $184,000—$200,000 USD
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.

Other Job Details

• Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws.
• If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address, and the amount of payments made may be reported to the government.

Equal Opportunity Employer

Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law.

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