Senior/Staff Data Scientist

Socket.dev; Sunnyvale (CA); On-site; USD 184,000 - 200,000; Full time

Benefits offered by this job

Health benefits

Equity opportunities

401(k) matching

ESPP

Job summary

Ceribell is seeking a data scientist/algorithm engineer with a biomedical focus to design and develop state-of-the-art classification algorithms for EEG neurodiagnostics. You will join the data science team and work on time-series analysis, machine learning, and signal processing to advance seizure detection technology.

Ideal candidates hold a PhD and 7+ years in research or industry, are proficient in Python/Matlab/R, and can lead projects from concept through deployment while collaborating

Qualifications

• PhD in Electrical Engineering, Computer Science, Statistics, or equivalent.
• 7+ years of research/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.

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

Skills

Python

Matlab

R

Time-series analysis

Machine learning

Deep learning

Signal processing

Education

PhD in Electrical Engineering

Job description

About Ceribell

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.

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
• 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

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. 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 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!

Application Deadline: Ongoing

Other Job Details

Ceribell 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 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. 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 [e-mail] to request reasonable accommodation.

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