Senior/Staff Data Scientist

About CeribellCeribell 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.What you'll do:Use time-series analysis, statistical signal processing and machine learning techniques to design classification algorithms for various neurological indicationsAnalyze data for trends and patterns, and interpret data with a clear objective in mindCollaborate with business and clinical stakeholders to define project needs and communicate results of the models/analytical solutions designedSelect 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 algorithmsMentor and guide junior data scientists and interns, fostering their growth by providing technical direction, feedback, and supportManage multiple projects independently, effectively prioritizing tasks and aligning deliverables with key milestones to ensure timely and successful outcomesStay updated with the latest advancements in machine learning and neurodiagnostics to ensure the algorithms are state-of-the-artWhat We're Looking For: PhD in Electrical Engineering, Computer Science, Statistics, or equivalent disciplines7+ 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 developmentProficient in Python and/or Matlab and/or R or similar programming languagesExperience and interest in biological signal processing and algorithm development for biomedical applicationsStrong analytical skills, detail-oriented and collaborativeExperience with large-scale datasets, including preprocessing, cleaning, and handling noisy or imbalanced data in a biomedical contextProven ability to work independently, define scope and and manage complex technical projects from concept to deploymentExperience with advanced machine learning techniques, such as deep learning architectures (e.g., CNNs, RNNs) and their application to time-series dataStrong preference for experience in neurodiagnostics or EEG data processing and algorithm developmentCompensation Range$184,000—$200,000 USDA 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.In addition to your base compensation, Ceribell offers eligible employees the following:Performance-based incentive compensation (varies by role)Equity opportunities100% Employer paid Health Benefits for Employees50% - 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 matchEmployee Stock Purchase Plan (ESPP) with a discountMonthly cell phone stipendFlexible paid time off13 Paid Holidays + 3 Company Wellness DaysExcellent parental leave policyFantastic culture with tremendous career advancement opportunitiesJoining a mission-minded organization!Application Deadline: OngoingOther Job DetailsCeribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs’ names, addresses and the type of payments or other value received, generally for public disclosure. 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 EmployerCeribell 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. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact View email address on click.appcast.io to request reasonable accommodation.Privacy StatementFor information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.Compliance DisclaimerIf you believe this job posting is non-compliant, please submit a report to View email address on click.appcast.io. Please note that we will not respond to inquiries unrelated to job posting compliance.