Data Science Intern
New
A
America On TechHealth Technology
Location: United StatesInternshipEntry
Salary not disclosed
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Job Details
- Required Skills
- PythonMatlabNumpyData sciencePandasR
Requirements
- Interest in signal processing, EEG, neuroscience, biomedical engineering, data science, machine learning, wearable sensors, or medical devices.
- Experience coding in Python, MATLAB, R, or a similar language.
- Familiarity with data analysis libraries such as NumPy, pandas, SciPy, MNE, Matplotlib, or similar tools.
- Basic understanding of signal processing concepts such as sampling rate, filters, noise, artifacts, frequency bands, Fourier transforms, and time-series data.
- Ability to work with messy real-world data and troubleshoot data quality issues.
- Strong analytical thinking and attention to detail.
- Ability to explain technical findings clearly to both technical and non-technical team members.
- Ability to work independently and document work carefully.
Responsibilities
- Write code to process raw EEG data collected from the wearable device.
- Clean and organize EEG data, including handling noise, artifacts, missing data, and inconsistent recordings.
- Apply signal processing techniques such as filtering, segmentation, frequency analysis, and feature extraction.
- Explore EEG-derived features that may relate to stress, fatigue, focus, relaxation, sleepiness, or other non-clinical states.
- Generate visualizations of EEG signals, trends, patterns, and extracted features.
- Support the development of reusable data pipelines for EEG preprocessing and analysis.
- Help compare EEG recordings across time, subjects, device settings, activities, or experimental conditions.
- Document code, methods, assumptions, limitations, and findings clearly so the work can be reused by future team members.
- Work directly with the founder/team to test different signal processing approaches and summarize results.
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