Neural Data Science Intern​/On-site

At OpenBCI we are defining the future of high-quality human-computer interfaces. We are a growing team of ambitious engineers, designers, and scientists. As part of OpenBCI’s continued development we are seeking a Neural Data Scientist Intern to support the collection, processing, and analysis of multimodal physiological datasets generated with next-generation neural interface systems. This role will focus on working with biosignals such as EEG, EMG, EDA, and related physiological signals to develop insights into cognitive and physiological states.

The intern will also assist with human data collection using OpenBCI hardware and will collaborate closely with engineers and researchers on algorithm development, experimental validation, and applied neurotechnology projects spanning neuroscience, human performance, XR, and assistive technology.

Location:

Brooklyn, NY (On site 4 days a week)

Duration: 6 months with a target start date in July 2026

Salary: $20-28/hr | equivalent to $3,200 - $4,500/mo

• Process and analyze biosignal data including EEG, EMG, EDA, and other physiological modalities.
• Implement preprocessing pipelines including filtering, artifact removal, segmentation, and feature extraction.

• Develop and evaluate machine learning models for classification or regression of cognitive and physiological states such as attention, workload, stress, or fatigue
• Explore both traditional machine learning and deep learning approaches for multimodal physiological data

• Assist with human data collection using OpenBCI hardware and related sensing systems
• Support study setup, protocol execution, hardware preparation, and data quality checks during recording sessions
• Contribute to the analysis of experimental studies involving neural interfaces and multimodal sensing
• Build and maintain reproducible data analysis workflows for large experimental datasets
• Assist with dataset organization, annotation, and quality control

• Create clear visualizations and summaries of neural and physiological data
• Document methods, findings, and analysis results for internal reports, presentations, and potential publications

• Currently pursuing or recently completed a master’s or PhD program in neuroscience, biomedical engineering, data science, computer science, electrical engineering, or a related field
• Experience working with neural or physiological signal data such as EEG, EMG, ECG, EOG, or related modalities
• Strong programming skills in Python or MATLAB
• Familiarity with Git and collaborative research or engineering workflows
• Familiarity with signal processing techniques such as filtering, spectral analysis, feature extraction, and time-series analysis
• Experience with scientific computing tools such as Num Py, Sci Py, Pandas, or similar libraries
• Strong analytical and problem-solving skills, with the ability to work with complex biological datasets
• Strong technical communication and documentation skills, with the ability to clearly present methods, results, and insights to both technical and non-technical audiences
• Ability to collaborate effectively within a multidisciplinary team and adapt in a fast-paced startup environment, balancing multiple tasks and contributing across research, data collection, and analysis activities

• Experience with machine learning frameworks such as PyTorch, Tensor Flow, or scikit-learn.
• Familiarity with BCI, neurotechnology, or physiological sensing systems.
• Experience with multimodal datasets combining neural, physiological, and behavioral data.
• Knowledge of EEG feature extraction techniques such as band power, PSD, ERPs, or connectivity metrics.
• Experience with human subject data collection or experimental research protocols.
• Experience with real-time signal processing or streaming data systems.
• Strong data visualization skills using tools such as Matplotlib or Plotly.
• Experience using Jupyter Notebooks for exploratory data analysis, signal processing workflows, and model development.
• Growth potential - OpenBCI is still a small team with lots of room for growth.
• Your own research station, outfitted with proprietary, bleeding edge neurotechnology