Medical Device Research jobs in Montréal, QC
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- YULCOM TechnologiesMontréal, QC
- Experience with data warehousing for medical imaging data.
- Implement algorithms specifically geared towards finding and characterizing nodules to facilitate…
- Eli HealthMontréal, QC
- Full-time
- You have 3-5 years of QA/RA experience in medical devices, diagnostics, or another regulated industry where records are part of the work rather than paperwork…
- Eli HealthMontréal, QC
- Full-time
- Communicate research progress to a non-technical team.
- Eli Health is making continuous hormone monitoring possible so users can support their daily and long-…
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- Thermo Fisher ScientificSaint-Laurent, QC
- $83,300–$124,925 a year
- Full-time
- Weekends as needed
- Collaborative, team-oriented approach to working with sales, marketing, and scientific/medical affairs colleagues.
- Standard Office Hours (40/wk).
- IQVIAKirkland, QC
- Full-time
- Kirkland, Canada | Full time | Home-based | R1575797.
- The purpose of this role is to work together with global or regional Quality Management team(s),…
- View all IQVIA jobs - Kirkland jobs - Quality Manager jobs in Kirkland, QC
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- Sofina Foods Inc.Saint-Bruno-de-Montarville, QC J3V 6L8
- Full-time
- Contribuer activement à la croissance de Sofina en générant des volumes, des marges et des économies de coûts ;
- Assurances collectives complètes et modulaires;
- Sofina Foods Inc.Saint-Bruno-de-Montarville, QC J3V 6L8
- Full-time
- Contribuer activement à la croissance de Sofina en générant des volumes, des marges et des économies de coûts ;
- Assurances collectives complètes et modulaires;
- Santé Québec LavalLaval, QC
- $31.51–$57.81 an hour
- Il planifie, analyse, acquiert, implante et optimise l’utilisation sécuritaire des équipements biomédicaux dans un contexte clinique et organisationnel complexe…
- Edwards LifesciencesMontréal, QC
- $94,000–$133,000 a year
- Full-time
- Effectiveness in understanding complex medical cases, resolving difficult situations, and setting priorities.
- The Cath lab/OR staff and physicians see you as an…
Medical Science Liaison
Easily applyArrowhead PharmaceuticalsMontréal, QC- Ability to identify unmet medical, educational, and research needs at the local and regional level in the medical community.
- PhD, PharmD, MD, or DO required.
- View all Arrowhead Pharmaceuticals jobs - Montréal jobs - Liaison jobs in Montréal, QC
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- nomicMontréal, QC
- Full-time
- For the first time, large-scale, quantitative proteomics is accessible to any scientist, supporting everything from drug discovery and translational research to…
Scientifique de recherche/Research Scientist
Easily applyBiospective Inc.Montréal, QC H1W 4A4- $70,000–$80,000 a year
- Full-time
- Weekends as needed
- Vision care
- Commuter benefits
- Discounted or free food
- RRSP match
- Flexible schedule
- Company events
- Superviser le bon déroulement des études précliniques et des études en laboratoire, notamment en agissant à titre de directeur d’étude pour les études…
Directeur(trice) qualité
Easily applyOften replies in 1 dayPuzzle Medical Devices® inc.Montréal, QC H4C 2Z6- Full-time +1
- Vision care
- Dental care
- Stock options
- Life insurance
- Disability insurance
- On-site gym
- Se joindre à Puzzle Medical, c’est faire partie d’une équipe engagée à améliorer le traitement de l’insuffisance cardiaque avancée.
- Options d'Achats d'Actions.
Chargé(e) de projets R&D
Easily applyNewInvera FlexiblesLaval, QC H7S 1B1- From $85,000 a year
- Full-time
- Paid time off
- Vision care
- Dental care
- Life insurance
- Employee assistance program
- Disability insurance
- Laval | 40 heures par semaine | Mode hybride*.
- Gérer les projets R&D, de la définition des besoins à la validation des produits.
- Programme d'Aide aux Employés.
PK Scientist II
Easily applyEverest Clinical ResearchCanada- $105,000–$120,000 a year
- Permanent
- Tuition reimbursement
- Paid time off
- Vision care
- Dental care
- Employee assistance program
- Disability insurance
- We offer a robust benefits package to support your health, well-being, and growth, including medical, dental, and vision coverage, life & AD&D insurance, short-…
- IQVIAKirkland, QC
- Part-time
- Minimum 3 years administering scales in clinical research trials (excluding graduate/doctoral research).
- The Clinical Independent Rater (CIR) plays a key role…
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Job Post Details
Senior Computer Vision and Medical Image Processing Engineer – Canada
Montréal, QC
Full-time
Senior Computer Vision and Medical Image Processing Engineer – Canada
Job details
Pay information not provided
Vision care
Full-time
Montréal, QC
Full job description
Catégories: AI artificial intelligence IT
Type: full-time
Emplacement: Montréal
Job Category: Developer IT
Job Type: Full time
Job Location: Canada
Job Title: Senior Computer Vision and Medical Image Processing Engineer
Job Type: Full-time
Location: Montreal
Start date: January, 2024
About Us:
YULCOM Technologies is a Montreal-based multinational consulting firm that specializes in information technology, systems integration, and artificial intelligence solutions. YULCOM specializes in web design, software development, web packages and web and mobile applications. It supports its customers in integrating the best digital technologies and improving their process management in North America, Europe, Africa and Asia.
Responsibilities:
1-Develop and Implement Computer Vision Algorithms:
- Design and implement advanced computer vision algorithms for the analysis of medical images, with a focus on X-ray and ultrasound modalities.
- Utilize machine learning techniques for image segmentation, feature extraction, and pattern recognition.
- Implement algorithms specifically geared towards finding and characterizing nodules to facilitate clinical interpretation of medical images.
- Collaborate closely with medical professionals to understand clinical needs and ensure that the algorithms contribute to accurate and meaningful findings.
X-ray and Ultrasound Image Processing:
- Specialize in the analysis and processing of X-ray and ultrasound images.
- Develop and optimize image processing pipelines for enhancing image quality, artifact reduction, and extracting relevant information.
Proposition for a PACS Integration
- Possess expertise in integrating computer vision solutions with PACS (Picture Archiving and Communication System) technology.
- Collaborate with the IT team to ensure seamless integration into existing healthcare systems, emphasizing data warehousing best practices.
Edge and Cloud Integration:
Implement solutions for both edge and cloud-based environments, ensuring efficient processing and storage of medical imaging data.
Architect and optimize image processing workflows for edge devices and cloud platforms.
Data Warehousing:
- Design and implement robust data warehousing solutions for medical imaging data, ensuring scalability, security, and accessibility.
- Collaborate with the data engineering team to establish best practices for storing and retrieving medical images.
Algorithm Optimization:
- Optimize algorithms for real-time processing and large-scale datasets, ensuring efficient implementation on various platforms.
- Collaborate with hardware and software teams for seamless integration.
Research and Development:
- Stay current with the latest advancements in computer vision and medical image processing, with a focus on edge and cloud technologies.
- Lead research initiatives to explore and implement innovative solutions specific to X-ray and ultrasound imaging, PACS integration, and data warehousing.
Cross-functional Collaboration:
Collaborate with multidisciplinary teams, including software engineers, data scientists, and medical professionals, to understand requirements and refine solutions.
Documentation and Reporting:
Document algorithms, methodologies, and results comprehensively.
Prepare and deliver reports and presentations to stakeholders.
Qualifications:
- Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field.
- Proven experience in developing and implementing computer vision algorithms, with a focus on X-ray and ultrasound image processing.
- Strong programming skills in languages such as Python, C++, or Java.
- Proficiency in using popular computer vision and machine learning libraries (e.g., OpenCV, TensorFlow, PyTorch).
- Experience with PACS technology integration.
- Experience with data warehousing for medical imaging data.
- Familiarity with edge and cloud computing technologies.
- Strong problem-solving skills and the ability to work independently and as part of a team.
- Excellent communication and collaboration skills.
Preferred Skills:
- Familiarity with regulatory standards and compliance in the healthcare industry.
- Knowledge of GPU programming for parallel computing.
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