Researcher - BCI (Brooklyn, NY, United States)
- Conduct research sessions with BCI users, including setup, calibration, and structured data collection.
- Analyze and interpret multimodal data (neural, behavioral, video) to inform product and research decisions.
- Develop and iterate on machine learning models for neural signal decoding and behavioral prediction.
- Collaborate with machine learning and research engineering teams to align experimental protocols with product goals.
- Document findings and methodologies for internal and external dissemination.
- Support the design of human research protocols and ensure compliance with ethics and safety standards.
- Travel regularly as required to work with participants, clinicians, and collaborators.
- Bachelor's, Master's, or PhD in Neuroscience, Computer Science, Biomedical Engineering, or a related field (or equivalent experience).
- Expertise in Python, with model training workflows (e.g., PyTorch, TensorFlow, scikit-learn, metaflow), and data science frameworks and tools (e.g., NumPy, Pandas, SciPy, matplotlib, seaborn)
- Expertise in machine learning techniques and applications for real-time systems
- Demonstrated ability to problem-solve under uncertainty and adapt quickly to new environments.
- Excellent interpersonal and communication skills for working directly with BCI users and research participants.
- Ability to travel frequently to the participants for research sessions.
- Experience conducting or supporting human research.
- Familiarity with brain–computer interface systems or electrophysiological data.
- Experience designing or executing experiments with human participants.
- Experience in applied research environments integrating software, hardware, and data science.
- Subsidized medical and dental insurance coverage for you and your dependent(s)
- Life insurance, short-term disability, long-term disability
- 401k
- Discretionary unlimited PTO
- Flexible Spending Account for you and your dependent(s), with eligible plan elections
- Commuter benefits for NY employees
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