Data Scientist for Biomedical Signals
About Us
At Myant, we are creating the world’s first expressive and continuous digital presence platform, enabled by integrating technology directly into clothing and augmented by other devices, wearables, and IOT. We see the evolution of society where every member gets to participate from anywhere and anytime through a whole-body experience, mostly in a passive or ambient manner to foster ubiquitous accessibility. Humans have a fundamental desire and need to be connected to our environment, family, community, and technology. This level of connection will create a paradigm shift in the way we deal with each other, especially from afar, allowing for more meaningful relationships, and more in-depth representation of ourselves.
The need for this type of connection is not new. There are many companies working on ways to connect humans in singularity with technology, however most of these technologies are based on devices that are often used in episodical ways hence, leading to poor adoption or reliability. In general, innovation and technology have delivered significant benefits for many members of society. However, there are those who are left behind, namely the very young, the marginalized, the old and the sick. The challenge of inclusion for those left behind requires us to move beyond device focused strategies, towards an interface that we use naturally, every day. We believe that textile is that primary interface, used in clothing, coverings, carpeting and more, we wear and are surrounded by textiles universally, at all times.
Such an interface could fuse data with other devices that we use periodically and data with other IoTs in the environment. People could then leverage their physical presence over their digital presence to communicate and share personal wellbeing. This could unlock healthcare that is proactive and preventative, social connectedness that is more profound, enable care distribution models to be seamless and on demand, better fitness insights, safer working environments and more.
The vision for SKIIN -our first consumer-facing brand- is to enhance human ability through connected clothing and textiles. Skiin is in beta-phase market launch and has been recently granted Health Canada medical device license and submitted to FDA for regulatory approval in the US market. The sensors and actuators embedded within our apparel create your Digital Identity, which will be consumed by those who matter to you - your family members, physicians, trainers, other IoT devices - without you consciously having to think about it. The line between the digital and physical world is becoming increasingly blurry and we believe textile is the next medium to bridge that gap.
We are a multi-disciplinary technology team solving big challenges at the intersection of electronics, deep tech., software, design, advanced manufacturing and data science.
What we offer at Myant:
- Employee stock options
- Paid Sick Days and Floating Days
- Group Health Insurance Plan
- RRSP matching Plan
- Corporate Events
- Exposure working in one of the most innovative and forward-thinking tech company.
Myant is a diversified, equal opportunity employer. People with disability or a special accommodation request may send an email to hr@myant.ca.
Project Description:
You will be involved in Myant’s project with the Canadian Space Agency for development of mental health and sleep monitoring tools for deep space exploration. You will have to design protocols, collect and analyze data to validate the prediction capabilities of various metrics using Myant’s smart-textile based form factors. These metrics include sleep and mental health parameters. You will also be involved in integration of Myant’s system with mental health management solutions provided by other subcontractors.
Responsibilities:
- Use tools and algorithms for data collection, testing and validation of our products for biosignal monitoring (e.g. sleep, activity, fatigue and stress).
- Clean and organize study data and assess quality and integrity of data collected.
- Visualize data statistics and perform exploratory data analysis to understand relevant feature engineering approaches.
- Develop Signal Processing and Machine Learning Algorithms for extracting information and valuable metrics from bio-signals including ECG, activity, temperature, for continuous long-term monitoring;
- Collaborate with academic and industrial partners for integration of Myant Products
- Evaluate the algorithms and the system as a whole in real-world scenarios and do troubleshooting to cover corner cases.
- Take ownership of all your deliverables and communicate your results for timely project delivery
- Working in an ISO-13485 and HIPAA regulated environment, following quality procedures for design and development as well as verification and validation for clinical use, including to support regulatory approval.
Qualifications:
- PhD in Biomedical, Electrical/Electronics Engineering, Computer Engineering, Computer Science, or related discipline.
- Extensive experience in modern scripting languages including Python. Working familiarity with Python is a must.
- Knowledge and experience in Bio-signal processing, feature extraction, feature selection, sampling strategies using machine learning algorithms, and systematic hyperparameter optimization.
- Familiarity with following libraries is desired: scikit-learn, seaborn, plotly, pytorch/tensorflow
- Previous experience working on bio-signals such as electrocardiogram, electromyogram, electroencephalogram, photoplethysmogram, IMU signals, etc.
- Experience on long term biomedical recording and data analysis, from wearable systems and related signal analysis, handling of noise, missing data etc.
- Background in time-domain, frequency-domain, and discrete-time signal processing algorithms
- Previous experience on planning and coordinating clinical studies, data collection and operating medical devices is a plus.
Bonus:
- Experience in implementing algorithms in C/C++, Java, Javascript and Swift.
- Experience in any of the following industries: pharmaceutical, medical technology, healthcare, consumer electronics, and wearables.
- Experience working in start-ups or growth companies