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Biomedical Algorithms Engineer; Hybrid

Job in Burnaby, BC, Canada
Listing for: Kardium Inc.
Full Time position
Listed on 2025-12-30
Job specializations:
  • Engineering
    Systems Engineer, Electronics Engineer, Data Engineer, Electrical Engineering
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Position: Biomedical Algorithms Engineer (Hybrid)

Kardium Inc., 155-8518 Glenlyon Parkway, Burnaby, British Columbia, Canada

Job Description

Posted Sunday, November 16, 2025 at 11:00 a.m.

Your opportunity

By joining the Kardium team, you can help make a difference in the lives of millions around the world. We have developed a ground-breaking medical device for the diagnosis and treatment of the most common heart rhythm disorder, atrial fibrillation – which can cause stroke, heart failure, and other heart-related complications.

Kardium’s mission is to deliver the best treatment for atrial fibrillation. To achieve this, we have developed The Globe® Pulsed Field System – a revolutionary solution designed by our world‑class technical team. The Globe System offers strong, unique, and customer‑valued advantages over other treatments on the market, and leading physicians are already using it and helping to share our story.

We have obtained FDA approval and officially begun the commercial launch of the Globe® Pulsed Field System. This is a pivotal and exciting time in our journey, as we bring this life‑changing technology to patients!

As our Biomedical Algorithms Engineer, you will join Kardium’s Cardiac Mapping team in designing, developing, and evaluating algorithms to turn raw data into actionable information for physicians. You will support the development of 3‑dimensional maps used by electrophysiologists during cardiac ablation procedures, using a wealth of electrical, anatomical, and spatial information as inputs. You would have the opportunity to bring your creative and innovative ideas to help Kardium achieve its goal of helping improve people’s lives.

Please note, this opportunity is a hybrid work arrangement, located in Burnaby, BC.

Meaningful work you will be a part of

Your responsibilities will include:

  • Apply scientific investigation methods to drive product innovations in mapping and navigation algorithms.
  • Design, implement and evaluate algorithmic approaches to meet clinical needs related to navigation, electrophysiology, and ablation.
  • Systematically analyze large multivariate data sets of electrophysiological, anatomical, spatial, and procedural data.
  • Contribute to internal software tools for large multivariate data sets of electrophysiological, anatomical, spatial, and procedural data.
  • Act as an independent problem‑solver, finding ways to connect customer‑facing deliverables to appropriate technical problem statements and solutions.
  • Design experiments to evaluate the performance of new algorithms.
  • Advance Kardium’s intellectual property by contributing to our patent portfolio.
  • Communicate experiments, analyses and results to teammates and senior leadership.
  • Supplement algorithmic analysis with occasional hands‑on, benchtop data collection (if hybrid).
What you bring to the team

Our Kardium team is smart, creative, and passionate about developing cutting‑edge medical devices to help improve people’s lives. We work in a collaborative environment based on trust and respect. We understand that only by working together can we solve what was thought unsolvable.

You will be successful in this role because you possess these attributes:

  • An undergraduate or graduate degree in engineering, physics, or equivalent.
  • Prior experience in research or development within a high‑technology field. Experience with algorithmic design and/or medical devices is an asset.
  • Experience with programming for data analysis. Emphasis on MATLAB or Python.
  • Prior experience with object‑oriented programming, especially for data analysis. Emphasis on MATLAB, Python or Java. Experience with software version control is also an asset.
  • A strong motivation to produce correct, clear, and maintainable code.
  • Strong understanding of foundational topics in applied mathematics including calculus, linear algebra, and statistics.
  • Familiarity with a selection of advanced topics in applied mathematics that support clinical algorithm design. These topics could include:
  • Three‑dimensional tracking/navigation, point clouds or computational geometry
  • Image processing, medical imaging algorithms, or computer vision
  • Signal processing (e.g. Fourier analysis, FIR and IIR filters, wavelet analysis), especially biosignal…
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