Biomedical Big Data Engineer

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. Position Overview : As a Biomedical Big Data Engineer at Myantx, you will play a key role in designing, developing, and maintaining our big data infrastructure.

You will work closely with datascience, biomedical systems and software teams to implement scalable and efficient data processing solutions, ensuring the availability and reliability of our data pipelines.

You will also contribute in defining along with all stake holders the efforts on big data analysis, planning for execution, providing the timeline and leading the efforts.

This is an exciting opportunity to contribute to the advancement of our data architecture and analytics capabilities. Responsibilities : Take ownership of all your deliverables and communicate your results for timely project delivery.

Design, implement, and optimize big data processing systems and infrastructure both for offline analysis and as part of the Myant Health platform.

Develop and maintain scalable ETL (Extract, Transform, Load) processes for large volumes of structured and unstructured data from wearable systems including noise and missed data.

Collaborate with data scientists and analysts to understand data requirements and ensure data availability for analytical purposes.

Implement data governance and security best practices to safeguard sensitive information. Troubleshoot and optimize existing data pipelines for performance and reliability.

Prepared and organize large scale biomedical datasets gathered by Skiin or other devices, as well as clinical datasets to be used for data analysis and development of medical and health related algorithms / models.

Contribute in big data analysis using statistical methods, causal inference techniques and machine learning approaches. Creating and managing data warehouses and data lakes to facilitate efficient data storage and retrieval.

Stay current with emerging technologies and industry trends in big data and analytics. Collaborate with cross-functional teams, partners and external researchers / companies to define and execute data-driven projects.

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 Computer Science, Electrical or Biomedical Engineering, or MSc plus equivalent experience in relevant industry.

Extensive experience in modern scripting languages including Python and Java. Proven experience as a Big Data Engineer or similar role, with expertise in designing and implementing large-scale data processing solutions.

Familiarity with data modeling, database design, and SQL. Experience with big data technologies, including Hadoop, Spark, Kafka, and related ecosystems.

Strong understanding of distributed computing principles and cloud platforms (e.g., AWS, Azure, GCP). Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications : Experience working in the medical device industry, or working with industrial partners on large scale biomedical datasets.

Familiarity with streaming data processing and real-time analytics. Experience in implementing algorithms in C / C++, Javascript and Swift.

Experience in biomedical data analysis from wearable systems and related signal analysis, handling of noise, missing data etc.

Experience working on bio-signals such as electrocardiogram, electromyogram, electroencephalogram, photo-plethysmogram, accelerometry signals.

What We Offer 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.

We are a diversified, equal opportunity employer. People with disability or a special accommodation request may send an email to [email protected]. Powered by JazzHR