Biosignal Experimental Researcher
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 Experimental Researcher at Interaxon, you’ll help us carry out studies to extract insights from brain and biosignal data at large scale and build meaningful experiences based on these insights. You are a skilled engineer/scientist, passionate about neurotechnology, eager to have a positive impact on people's lives through technology, and who has experience with signal processing, machine learning and biosignal analysis.
This role is remote-friendly, with a preference for candidates based in Canada.
What you’ll do:
- Coordinate and support research activities with clinical and academic partners.
- Manage prospective and retrospective in-house research studies.
- Run cloud studies on our large-scale EEG database.
- Perform statistical analysis, modeling, and visualization of data collected from retrospective and ongoing research projects.
- Develop offline and real-time algorithms for processing EEG, PPG and other biosignals.
- Contribute to the development of internal research tools.
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.
- Practical experience and theoretical understanding of statistics.
- Experience creating algorithms and tools for EEG, PPG or other biosignal analysis.
- 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.
- Familiarity with cloud computing platforms such as GCP.
- 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!
