Signal Processing Engineer – Cardiac Algorithm Development
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Job Location:
Monthly Salary:
Posted on:
30+ days ago
Vacancies:
1 Vacancy
Job Summary
CANDIDATES PLEASE NOTE - THIS JOB WAS PREVIOUSLY POSTED WITH THE JOB TITLE Junior Biomedical Engineer - Signal Processing Algorithms
IF YOU APPLIED FOR THE ABOVE PLEASE BE ASSURED THAT WE WILL CONTACT YOU if YOUR RESUME IS SHORTLISTED. PLEASE DO NOT REAPPLY. THANK YOU.
LOCATION: On-Site (Markham)/ Hybrid
JOB TYPE: Full-Time Permanent or Contract
EDUCATION: Recent Graduate / Post Graduate Engineering Degree
ABOUT US
We are an innovative medical technology company developing next-generation diagnostic solutions that bring hospital-grade cardiac monitoring to point-of-care settings. Our 12-lead ambulatory ECG platform is designed to improve early detection of cardiac pathologies and enhance patient outcomes through advanced signal processing and AI-driven analysis.
THE OPPORTUNITY
We are seeking an exceptional recent graduate or postgraduate engineer to join our algorithm development this role you will develop and refine machine learning algorithms that analyze cardiac signals to detect arrhythmias myocardial infarctions and other life-threatening conditions. This is an excellent opportunity to apply novel signal processing and AI techniques to real-world medical problems while working alongside experienced engineers and clinical experts.
KEY RESPONSIBILITIES
Algorithm development: Design implement and optimize signal processing algorithms for 12-lead ECG analysis including arrhythmia detection ST-segment analysis and cardiac pathology classification
Artifact reduction: Develop algorithms to remove motion artifacts baseline wander and noise from ambulatory cardiac signals
Machine learning: Build and train supervised learning models for automated cardiac event detection and classification
Validation & testing: Conduct rigorous testing against clinical databases to ensure algorithm accuracy sensitivity and specificity meet regulatory standards (FDA/Health Canada)
Documentation: Maintain comprehensive technical documentation to support regulatory submissions and design history files
Cross-functional collaboration: Work with software developers hardware engineers and clinical advisors to integrate algorithms into production devices
Continuous improvement: Stay current with research in cardiac signal processing deep learning architectures and medical AI applications
REQUIRED QUALIFICATIONS
Education: Bachelors degree in electrical engineering computer engineering biomedical engineering or software engineering from a Canadian university (Masters degree is an asset)
Academic background: Coursework or thesis/capstone projects in digital signal processing machine learning or biomedical signal analysis
Programming: Proficiency in Python and MATLAB
Fundamental knowledge: Understanding of DSP concepts (filtering feature extraction time-frequency analysis)
Communication: Strong written and verbal English skills for technical documentation and team collaboration
Work authorization: Eligible to work in Canada
PREFERRED REQUIREMENTS
IF YOU APPLIED FOR THE ABOVE PLEASE BE ASSURED THAT WE WILL CONTACT YOU if YOUR RESUME IS SHORTLISTED. PLEASE DO NOT REAPPLY. THANK YOU.
LOCATION: On-Site (Markham)/ Hybrid
JOB TYPE: Full-Time Permanent or Contract
EDUCATION: Recent Graduate / Post Graduate Engineering Degree
ABOUT US
We are an innovative medical technology company developing next-generation diagnostic solutions that bring hospital-grade cardiac monitoring to point-of-care settings. Our 12-lead ambulatory ECG platform is designed to improve early detection of cardiac pathologies and enhance patient outcomes through advanced signal processing and AI-driven analysis.
THE OPPORTUNITY
We are seeking an exceptional recent graduate or postgraduate engineer to join our algorithm development this role you will develop and refine machine learning algorithms that analyze cardiac signals to detect arrhythmias myocardial infarctions and other life-threatening conditions. This is an excellent opportunity to apply novel signal processing and AI techniques to real-world medical problems while working alongside experienced engineers and clinical experts.
KEY RESPONSIBILITIES
Algorithm development: Design implement and optimize signal processing algorithms for 12-lead ECG analysis including arrhythmia detection ST-segment analysis and cardiac pathology classification
Artifact reduction: Develop algorithms to remove motion artifacts baseline wander and noise from ambulatory cardiac signals
Machine learning: Build and train supervised learning models for automated cardiac event detection and classification
Validation & testing: Conduct rigorous testing against clinical databases to ensure algorithm accuracy sensitivity and specificity meet regulatory standards (FDA/Health Canada)
Documentation: Maintain comprehensive technical documentation to support regulatory submissions and design history files
Cross-functional collaboration: Work with software developers hardware engineers and clinical advisors to integrate algorithms into production devices
Continuous improvement: Stay current with research in cardiac signal processing deep learning architectures and medical AI applications
REQUIRED QUALIFICATIONS
Education: Bachelors degree in electrical engineering computer engineering biomedical engineering or software engineering from a Canadian university (Masters degree is an asset)
Academic background: Coursework or thesis/capstone projects in digital signal processing machine learning or biomedical signal analysis
Programming: Proficiency in Python and MATLAB
Fundamental knowledge: Understanding of DSP concepts (filtering feature extraction time-frequency analysis)
Communication: Strong written and verbal English skills for technical documentation and team collaboration
Work authorization: Eligible to work in Canada
PREFERRED REQUIREMENTS
- Experience with ECG EEG or other biomedical signal processing (academic projects research or internships)
- Familiarity with machine learning frameworks (TensorFlow PyTorch scikit-learn)
- Knowledge of C or Java
- Understanding of medical device regulatory requirements (ISO 13485 IEC 60601)
- Project or research in relevant areas
- Opportunity to work on life-saving medical technology
- Mentorship from experienced engineers and exposure to clinical applications
- Professional development and potential for rapid career growth
- Collaborative innovation-focused work environment
- Competitive compensation package
Required Experience:
Junior IC
Key Skills
- Active Directory
- Data Entry
- Clearance
- LAN
- Database Development
- Electronic Discovery
- Peripheral Equipment
- Windows
- QC
- Software Managements
- Data Files
- RAN
- Backup
- Data Processing
- Setup
About Company
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