Design, implement, and deploy high-performance deep learning models for complex biomedical imaging ... MSc or PhD in Engineering, Applied Mathematics or Computer Science. About the Benefits:
Design, implement, and deploy high-performance deep learning models for complex biomedical imaging ... MSc or PhD in Engineering, Applied Mathematics or Computer Science. About the Benefits:
Biomedical Engineer Phd information
What are the key skills and qualifications needed to thrive as a biomedical engineer PhD, and why are they important?
To excel as a Biomedical Engineer PhD, you need advanced knowledge in biomedical engineering principles, research methodologies, and a doctoral degree in biomedical engineering or a related field. Familiarity with tools such as MATLAB, CAD software, laboratory instrumentation, and experience with regulatory standards like FDA or ISO is crucial. Exceptional analytical thinking, problem-solving abilities, and strong communication skills are vital for collaborating with multidisciplinary teams and conveying complex findings. These skills ensure innovative solutions, effective cross-functional teamwork, and successful navigation of regulatory and research challenges in biomedical engineering.
What is the difference between Biomedical Engineer Phd vs Biomedical Engineer?
| Aspect | Biomedical Engineer Phd | Biomedical Engineer |
|---|---|---|
| Required Credentials | PhD in Biomedical Engineering or related field | Bachelor's or Master's in Biomedical Engineering or related field |
| Work Environment | Research labs, academia, advanced R&D | Hospitals, medical device companies, industry |
| Employer & Industry Usage | Academic institutions, research organizations, specialized R&D | Medical device firms, healthcare facilities, manufacturing |
The main difference between a Biomedical Engineer Phd and a Biomedical Engineer lies in education level, with the Phd focusing on advanced research and academic roles, while the Biomedical Engineer typically works in industry or clinical settings with a bachelor's or master's degree. The Phd often engages in innovative research, whereas the Biomedical Engineer applies engineering principles to develop and improve medical devices and systems.
What types of projects and collaborations can a biomedical engineer PhD expect to engage in within a multidisciplinary team?
Biomedical Engineer PhDs often work on projects that require close collaboration with clinicians, biologists, and other engineers. These collaborations may involve developing medical devices, improving imaging technologies, or conducting translational research that bridges laboratory findings with patient care. On a typical team, you might contribute expertise in advanced data analysis, experimental design, or regulatory compliance, while learning from colleagues in other specialties. This multidisciplinary environment fosters innovation and can open doors to leadership roles or specialized research positions in both academia and industry.
What does a biomedical engineer PhD do?
A Biomedical Engineer PhD conducts advanced research and develops innovative solutions at the intersection of engineering, biology, and medicine. They design and improve medical devices, imaging systems, and biotechnologies, often working in academic, clinical, or industry settings. Their work may include publishing scientific papers, leading research projects, and collaborating with healthcare professionals to translate discoveries into practical applications that improve patient care.
What job categories do people searching Biomedical Engineer Phd jobs in Calgary, AB look for? The top searched job categories for Biomedical Engineer Phd jobs in Calgary, AB are:
Full-time
PTO
Re-posted 26 days ago
Job description
About Circle Cardiovascular Imaging:
Circle's vision is to enable healthier Lives through better imaging by transforming cardiac magnetic resonance imaging (MR) and other advanced imaging technologies to improve Cardiovascular Care. Circle Cardiovascular' s CVI42 is the Cardiac MR market leader imaging processing software.
Circle Cardiovascular Imaging (Circle) designs, builds, and implements the best-in-class cardiovascular Magnetic Resonance Imaging solutions. At the heart of everything we do is our unrelenting drive to continually offer better solutions for healthcare providers that improve healthcare outcomes. This fuels our creativity, informs our decisions and it is the reason we are passionate about our work and most importantly why we are successful. We are careful stewards of resources focused on optimizing both customer and investor value. We strive to make Circle a place where employees are highly valued, engaged, and have opportunities for professional development. Our roots are medical and digital, our passion is contagious, and our people are amongst the best.
Position Overview:
We are seeking a Senior Machine Learning Software Developer to play a key role in the design, development, and delivery of advanced AI systems for cardiovascular imaging applications. This role is suited for an experienced, self-directed developer with deep expertise in medical image processing, machine learning, and production software development.
The Senior Machine Learning Software Developer will report to the Director, Artificial Intelligence
Development.
General Responsibilities:
- Design, implement, and deploy high-performance deep learning models for complex biomedical imaging tasks, including 3D medical image segmentation, geometric
analysis, registration, and related applications. - Take ownership of large ML software components or scientific modules, including architecture, implementation, optimization, validation, and integration into production
workflows. - Develop clean, efficient, well-tested code in Python and/or C++, with a strong focus on maintainability, scalability, and software engineering best practices.
- Work independently on challenging technical problems, evaluate trade-offs, and make recommendations that influence project direction, system design, and implementation strategy.
- Contribute to high-impact research and development efforts, including work that may lead to publications in peer-reviewed conferences such as MICCAI, ICLR, CVPR or similar venues.
- Mentor junior developers and researchers on software development practices, ML engineering workflows, medical imaging challenges, and model validation standards.
- Stay current with advances in medical imaging AI, deep learning, and scientific software development, and introduce relevant methods into the team's technical roadmap.
Required Skills/Experience:
- 4+ years of post-academic professional experience designing, building, and deploying machine learning systems for biomedical, medical imaging, or related scientific applications.
- Strong experience with medical imaging data, standards, and workflows, including DICOM and relevant medical imaging libraries or toolkits.
- Proven ability to architect, implement, and own end-to-end ML systems, from data ingestion and preprocessing through training, validation, deployment, and monitoring.
- Advanced programming skills in Python and/or C++, with hands-on experience using at least one major deep learning framework such as PyTorch or TensorFlow.
- Strong understanding of deep learning methods for medical imaging, including segmentation, classification, registration, reconstruction and geometric modeling.
- Demonstrated ability to work independently on complex technical assignments with minimal supervision.
- Strong software engineering foundation, including Git-based version control, automated testing, code review, documentation, debugging, and clean code practices.
- Ability to evaluate the downstream impact of design and implementation choices on other projects, systems, and product teams.
- Clear communication skills, with the ability to explain technical decisions, trade-offs, and risks to both technical and cross-functional stakeholders.
Preferred Skills/Experience:
- Experience with scalable ML infrastructure, model serving, experiment tracking, data pipelines, containerization, or MLOps practices.
Educational Requirements:
- MSc or PhD in Engineering, Applied Mathematics or Computer Science.
About the Benefits:
- Competitive compensation and vacation
- Flexible working arrangements
- Employee Wellness Program
- Professional development and tuition reimbursement program
- Gratifying internal recognition/kudos programs
- Annual salary review - based on company and individual performance
- Fun, inclusive, ego-free environment where diversity and individual thoughts are encouraged and valued
Upon joining Circle CVI, you will be welcomed into a collaborative and supportive company with uncompromising values on quality, innovation, culture, and customer service. Join us in changing the medical technology world and submit your application below!
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