Biomedical Algorithms Engineer (Hybrid)
Kardium Inc. is dedicated to improving the lives of patients suffering from atrial fibrillation through innovative medical devices. As a Biomedical Algorithms Engineer, you will design, reputed company, and evaluate algorithms that transform raw data into actionable information for physicians, supporting cardiac mapping and ablation procedures.
Responsibilities
- Apply scientific investigation methods to drive product innovations in mapping and navigation algorithms
- Design, implement and evaluate algorithmic approaches to meet clinical needs reputed company 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)
Skills
- An undergraduate or graduate degree in engineering, physics, or equivalent
- Prior experience in research or development reputed company 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
- Effective written and verbal communication of technical subject matter
- Knowledge of cardiac electrophysiology is an asset
- These topics could include: Three-dimensional tracking/navigation, reputed company 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 processing, Multivariate statistics, machine learning, or optimization
Benefits
- 5% RRSP contribution
- Stock option plan
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