The University of Ottawa Heart Institute does not use artificial intelligence (AI) in its recruitment process. All hiring decisions are made through human review and evaluation.
Term
Casual.
Job summary
This position provides scientific and technical expertise within the cardiac electrophysiology research program led by Dr. Damian Redfearn at the University of Ottawa Heart Institute. This role is responsible for the conception, design, validation, and implementation of novel computational methodologies for quantitative electrogram analysis and cardiac electrical activity mapping.
This position requires a high degree of autonomy and independent judgment in determining analytical strategy, software architecture, validation methodology, and computational modeling approaches. The position requires advanced expertise in biomedical signal processing, modeling of physiological processes, and scientific software development.
The role contributes directly to methodological innovation, peer-reviewed research output, competitive funding applications, and the development of intellectual property. It also supports the research program’s long-term development by contributing to ongoing research initiatives and through the supervision of graduate students.
Key responsibilities
Computational Methods and Signal Processing
- Independently design, implement, and refine advanced signal processing algorithms for electrogram analysis.
- Develop computational models and spatiotemporal mapping techniques to derive quantitative representations of cardiac electrical propagation.
- Design and execute quantitative validation strategies to assess algorithm performance, robustness, and reproducibility in both synthetic and clinical datasets.
- Extend and modernize legacy codebases and previously published methods to improve accuracy, computational efficiency, and clinical applicability.
Scientific Software Development
- Lead the development and lifecycle management of research-grade software systems (primarily in MATLAB, with integration of Python or C++ where appropriate).
- Refactor and optimize legacy codebases to improve modularity, maintainability, performance, and scalability.
- Design and build modular, well-documented, and version-controlled computational pipelines suitable for large-scale and longitudinal data analysis.
- Optimize computational performance for high-dimensional and real-time electrophysiology data processing.
Scholarly Contributions and Funding Support
- Contribute substantively to the conceptual development of new research directions in computational electrophysiology.
- Lead and co-author peer-reviewed publications in biomedical engineering and cardiac electrophysiology.
- Contribute substantively to the preparation of competitive grant applications, including drafting documents, developing scientific methodologies, and data analysis plans.
- Serve as co-investigator or key collaborator on externally funded research initiatives.
- Present research at national and international scientific conferences, as needed.
Supervision and Mentorship
- Provide direct supervision and mentorship to graduate students, research assistants, and other team members.
- Guide students in algorithm development, experimental design, quantitative data analysis, and scientific writing.
- Contribute to building research capacity within the laboratory.
Required qualifications
- PhD in Biomedical Engineering, Electrical Engineering, or a closely related field.
- A minimum of 1-year post-doctoral experience.
- Extensive expertise in biomedical signal processing, and computational modeling of physiological systems.
- Demonstrated proficiency in coding languages such as MATLAB and Python with experience developing complex scientific data acquisition and processing systems including graphical user interfaces.
- Experience in software development principles and best practices, with an emphasis on human readable code, and scientific accuracy.
- Strong peer-reviewed publication record.
- Demonstrated contributions to successful research funding applications.
- Experience supervising and mentoring graduate students, research assistants, and interns.
Preferred qualifications
- High level of technical autonomy and independent problem-solving ability.
- Advanced quantitative modeling and algorithm development capability.
- Ability to translate complex physiological phenomena into robust, validated, computational tools suitable for research and clinical applications.
- Excellent scientific communication skills, including manuscript preparation, technical documentation, and conference presentations in both English and French.
Working conditions
- The successful applicant will be working both on site at the Heart Institute, and some tasks can be completed remotely.
- Onsite tasks includes working within the clinical laboratory assisting the PI with data collection during invasive electrophysiologic procedures. Specifically, the candidate will troubleshoot streaming of intracardiac data into a portable computer and ensure the data is processed in real time. This will involve writing custom code and working with vendor specific products.
- Offsite work will include improvements to existing code, processing of collected data, and image integration.
- The candidate may also work in a supervisory capacity with graduate students, mentoring and assisting candidates with projects.
About us
We are Canada's largest and foremost cardiovascular health centre dedicated to understanding, treating, and preventing heart disease. We deliver high-tech care with a personal touch, shape the way cardiovascular medicine is practiced, and revolutionize cardiac treatment and understanding. We build knowledge through research and translate discoveries into advanced care. We serve the local, national, and international communities as we pioneer a new era in heart health.
To apply
Please email your cover letter and CV in PDF format to jobpostings@ottawaheart.ca.
Include the competition number in the email subject line and clearly state the position you are applying for. Applications missing the competition number may be delayed in processing.
File names:
- Lastname_Firstname_CoverLetter.pdf and
- Lastname_Firstname_CV.pdf
We thank all applicants for their interest; however, only those invited for an interview will be contacted.
Applications from Indigenous persons, members of racialized minorities, persons with disabilities, women, members of the LGBTQ+ community, as well as from all qualified candidates with the skills and knowledge to productively engage with equitable, diverse and inclusive communities are strongly encouraged.
According to government policy, all qualified candidates are invited to apply; however, preference will be given to Canadians and permanent residents. When submitting your application, please indicate if you are legally entitled to work in Canada.
The University of Ottawa Heart Institute is committed to ensuring barrier-free selection processes and work environments. Accommodations will be provided in all parts of the hiring process relating to any specialty requirements. Please notify us of any accommodations that you require – any information you provide will be handled respectfully and in complete confidence.
The successful candidate will be required, prior to the start of employment, to complete mandatory organizational training available online, and provide the following: an official piece of photo identification and a satisfactory Criminal Record Check and proof of COVID-19 vaccine.