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Eeg Signal Processing Scientist Jobs (NOW HIRING)

Leidos

Signal Processing Engineer

San Diego, CA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Leidos

Signal Processing Engineer

National City, CA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Leidos

Signal Processing Engineer

El Cajon, CA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Leidos

Signal Processing Engineer

Arlington, VA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Leidos

Signal Processing Engineer

La Jolla, CA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Leidos

Signal Processing Engineer

Chula Vista, CA

$87K - $157K/yr

You'll simultaneously get to work alongside scientists and experts in these fields to help grow ... signal processing - Fluent with tools such as MATLAB, Linux, Mathematica, Python, Simulink - and ...

Ceribell, Inc

Data Scientist

Sunnyvale, CA

... EEG neurodiagnostics to the next level. What you'll do ... Use time-series analysis, statistical signal processing and machine learning techniques to design ...

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Eeg Signal Processing Scientist information

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How much do eeg signal processing scientist jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for eeg signal processing scientist in the United States is $34.48, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $40.38 per hour, depending on experience, location, and employer.

What does an EEG Signal Processing Scientist do?

An EEG Signal Processing Scientist specializes in analyzing and interpreting electroencephalography (EEG) data, which records electrical activity in the brain. They develop and apply algorithms to extract meaningful information from raw EEG signals, often for research, clinical diagnosis, or brain-computer interface applications. Their work may include filtering noise, detecting neural patterns, and collaborating with neuroscientists, engineers, and clinicians. They also stay updated on the latest signal processing techniques and software tools to improve data accuracy and usability.

What is the difference between Eeg Signal Processing Scientist vs Eeg Data Analyst?

AspectEeg Signal Processing ScientistEeg Data Analyst
Required CredentialsMaster's or PhD in Neuroscience, Biomedical Engineering, or related fields; expertise in signal processingBachelor's or Master's in Data Science, Neuroscience, or related fields; proficiency in data analysis tools
Work EnvironmentResearch labs, healthcare institutions, or tech companies focusing on neurotechnologyHealthcare facilities, research institutions, or data-driven companies analyzing EEG data
Employer & Industry UsageNeurotech firms, hospitals, academic researchMedical research, healthcare analytics, neurotechnology companies

The main difference is that Eeg Signal Processing Scientists focus on developing and applying advanced algorithms to interpret EEG signals, often requiring specialized technical expertise. Eeg Data Analysts primarily handle data organization, statistical analysis, and reporting. Both roles work with EEG data but differ in their technical depth and responsibilities.

What are some common challenges faced when working with EEG data in a signal processing scientist role?

One of the main challenges in EEG signal processing is dealing with noise and artifacts, such as those caused by muscle movements or electrical interference, which can obscure the neural signals of interest. Scientists in this role often need to apply advanced filtering and artifact removal techniques to ensure data quality. Additionally, interpreting complex brain signals requires a strong understanding of both neuroscience and statistical analysis. Collaboration with clinicians, engineers, and other researchers is common to validate findings and develop robust algorithms for real-world applications.

What are the key skills and qualifications needed to thrive as an EEG Signal Processing Scientist, and why are they important?

To thrive as an EEG Signal Processing Scientist, you need a strong background in neuroscience, signal processing, statistics, and a relevant advanced degree such as a Master's or PhD in biomedical engineering, electrical engineering, or a related field. Proficiency in programming languages like Python or MATLAB, familiarity with EEG acquisition systems, and experience with machine learning frameworks are typically required. Critical thinking, problem-solving, and the ability to communicate complex data insights clearly are crucial soft skills in this role. These skills ensure accurate interpretation of EEG data, effective research outcomes, and successful collaboration with multidisciplinary teams in neuroscience and clinical environments.

Data Scientist

Ceribell │ AI-Powered Point-of-Care EEG

Sunnyvale, CA • On-site

Full-time

Posted 29 days ago

Job description

Job Summary:
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The successful candidate will join the data science team and will be responsible for the design and development of new state-of-the-art classification algorithms for EEG neurodiagnostics.
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
Qualifications:
Required:
• 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 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
Company:
Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. Founded in 2014, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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