EEG data scientist
2 dagen geleden
Who You Are
- Analyze large-scale EEG datasets using advanced signal-processing and machine-learning techniques.
- Develop and refine algorithms to extract cognitive, behavioral, and performance-related metrics from EEG activity.
- Build reproducible data pipelines for preprocessing, artifact removal, feature extraction, and model evaluation.
- Interpret results and translate them into actionable insights to support product development, research, and clinical use-cases.
- Collaborate cross-functionally on experimental design, data collection, and reporting.
- Present findings to internal stakeholders and contribute to Axite's growing knowledge base.
What We're Looking For
- 3+ years of experience
in data science, machine learning, or computational neuroscience (industry or research).
- Strong, hands-on experience working with
*EEG data**, including artifact detection, frequency-domain analysis, feature engineering, and signal-processing methods.
- Strong proficiency in
*Python** (e.g. NumPy, SciPy, MNE, scikit-learn, pandas) or equivalent tools.
- Experience building and evaluating predictive models and statistical analyses.
- Familiarity with cognitive science, neurophysiology, or human-performance assessment is a strong plus.
- Comfort working on-site, collaborating with cross-disciplinary teams, and communicating results clearly to technical and non-technical stakeholders.
- Masters Degree in Data Science, Computer Science, Neuroscience, Biomedical Engineering, or a related quantitative field; advanced degree preferred.
Why Join Us
- Work on meaningful, real-world neurotechnology that has the potential to impact brain-health monitoring for many people
- Join a team where your work directly shapes the product roadmap and outcomes.
- Access to unique EEG and behavioral datasets, and cutting-edge tools for analysis.
- A collaborative, mission-driven environment.
How to Apply
Please send your CV, a short cover letter describing relevant EEG/data-science experience, and examples of past EEG-analysis or signal-processing projects.
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