Biosignal Research Scientist
Toronto
Research /
Full-Time /
Remote
Interaxon (Muse) is pioneering brain health through its industry-leading EEG neurofeedback platform, built on advanced AI algorithms. Muse spearheads decentralized research initiatives aimed at enhancing mental health practices, optimizing sleep, and advancing neuroscience development. Its AI platform unites researchers, developers, and consumers worldwide, and is supported by over 200 research studies from renowned institutions including the Mayo Clinic, NASA, MITand Harvard. Muse has collected and decoded over 1 billion minutes of brain data to date, which is one of the largest EEG collections in the world. Muse is headquartered in Toronto, Canada with a subsidiary in San Francisco-Bay, California. Visit www.choosemuse.com.
As a Biosignal Research Scientist at Interaxon, you’ll help us extract insights from brain and biosignal data at large scale and build meaningful experiences based on these insights. You are a skilled scientist or engineer , passionate about neurotechnology, eager to have a positive impact on people's lives through technology, and who has exceptional strength in signal processing, machine learning and biosignal analysis.
What you’ll do:
- Develop offline and real-time algorithms for processing EEG, PPG and other biosignals.
- Develop and implement biosignal-based applications.
- Run cloud studies on our large-scale EEG and biosignal database.
- Contribute to the development of internal research tools.
- Report and present research results internally and in scientific venues.
- Follow the relevant scientific literature to propose new approaches for analyzing and modeling EEG and biosignal data.
Your skills and experience:
- Masters and/or PhD. in Biomedical Engineering or any related field including computer science, engineering, mathematics or neuroscience.
- Strong experience with Python for time series analysis, time frequency analysis, algorithm development and machine learning.
- Experience creating algorithms and tools for EEG, PPG or other biosignal analysis.
- Practical experience and theoretical understanding of machine learning, including deep learning.
- Track record of publications in relevant scientific journals and/or conferences.
- Detail-oriented and enthusiastic with good communication skills and a great work ethic.
- Creative problem solver and solution developer when presented with conflicting requirements, business demands and technical risks.
Additional Qualifications (assets, but not required):
- Knowledge of neuroscience.
- Experience with TensorFlow and/or other deep learning frameworks.
- Comfortable with Git and software development tools.
- Experience with SQL.
At Interaxon, we take pride in fostering a performance driven culture that revolves around innovation, inclusion, and achieving transformative results. We believe in empowering personal growth to not only improve lives but also create positive change in the world. We believe that diversity is an essential part of our workplace culture, and we continue to grow our team through equal opportunity and barrier-free recruitment. Additionally, if you require any accommodations during the selection process, please let us know!
