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Artificial Intelligence Researcher in Medicine
3 months ago
The Ottawa Hospital Research Institute (OHRI) is the research division of The Ottawa Hospital – one of Canada's leading institutions for learning and research. We are affiliated with the University of Ottawa and supported by The Ottawa Hospital Foundation. With a robust team of over 2200 scientists, clinician researchers, trainees, and staff, we generate total revenues exceeding $120 million, positioning us among the premier hospital-based research institutes in Canada. Our research encompasses a wide array of diseases, conditions, and specialties, with a central focus on translating discoveries into improved health outcomes.
We are dedicated to enhancing medical imaging, image-guided therapies, and radiation medicine within the Ottawa Region and beyond. By leveraging our expertise in innovation, scholarship, and simulation training, along with our unique geographic advantages and industry collaborations, we aim to disseminate best practices, contribute to superior clinical outcomes, and provide compassionate, high-quality, patient-centered care.
Position Overview
The Department of Radiology, Radiation Oncology, and Medical Physics is in search of exceptional candidates for a hybrid research role as a Scientist specializing in Medical Artificial Intelligence (MAI) and Virtual Reality (VR).
In the AI aspect of this role, the selected candidate will be tasked with developing and implementing AI models aimed at enhancing diagnostic precision, optimizing workflows, and fostering innovation in medical imaging. This role involves close collaboration with radiologists, data scientists, and engineers to convert complex datasets into actionable insights that improve patient care.
Key Responsibilities Include:
•AI Model Development: Create, develop, and validate AI models and algorithms tailored for medical imaging applications, such as image segmentation, classification, and anomaly detection.
•Data Analysis: Process and analyze extensive datasets of medical images to train and evaluate AI models, ensuring high accuracy and generalizability.
•Collaboration: Engage collaboratively with radiologists, medical professionals, and interdisciplinary teams to identify clinical needs and translate them into AI-driven solutions.
•Research & Innovation: Remain informed about the latest advancements in AI and radiology, applying novel techniques to enhance existing systems and workflows.
•Deployment & Integration: Implement and integrate AI models into current radiology systems and workflows, ensuring smooth operation and compliance with regulatory standards.
•Validation & Testing: Conduct thorough validation and testing of AI models to guarantee reliability, robustness, and clinical relevance.
The Radiology-Surgery Virtual Reality (Rad-Sur-VR) research group is dedicated to advanced visualization of patient-specific anatomy utilizing 3D image segmentation software and virtual reality technology.
For the VR component of this role, the successful candidate will work alongside investigators and other research team members to manage and coordinate the Rad-Sur-VR program and related studies.
Additional Responsibilities May Include:
•Maintenance of equipment and software
•Medical image segmentation and 3D model creation
•Dissemination of models to patients and their care teams.
•Regular scheduling and updates with radiologists and surgeons.
Basic Requirements (Education/Experience):
Candidates should ideally possess a PhD in Engineering, Computer Science, Data Science, Biomedical Engineering, or related fields with a health science background. Postdoctoral experience is considered a strong asset.
Skills Required:
•Proficiency in programming languages such as Python, R, or MATLAB.
•Expertise in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
•Strong understanding of image processing techniques and computer vision.
•Experience with large-scale data processing and analysis.
•Excellent problem-solving abilities and capacity to work independently as well as in a team setting.
•Experience in developing 3D geographical environments.
•Strong communication skills (both oral and written).
•Advanced organizational, prioritization, and time-management capabilities.
•Evidence of training certification in Tri-Council Policy Statement -2 (TCPS-2) and the International Conference on Harmonization – Good Clinical Practice Guidelines (ICH-GCP).
•Knowledge and experience in preparing research ethics applications for institutional review boards.
•Ability to work on-site and travel between multiple campuses.
The ideal candidate will have a keen interest in working within a multidisciplinary, patient-centered environment to tackle significant healthcare challenges.
Preferred Qualifications:
•Three (3) to five (5) years of clinical research experience
•Familiarity with various virtual and augmented reality technologies
•Experience in patient recruitment and conducting in-person patient research visits.
•Background in medical imaging research or a related field.
•Evidence of training in Food and Drug Regulations, Division 5, and/or Device Regulations, as applicable.
•Understanding of the principles and procedures of clinical research.
•Ability to recruit, evaluate, and instruct clinical research participants.
•Capability to design and implement systems necessary for data collection, maintenance, and analysis.
•Willingness to acquire new skills as required by the position.
•Established skills and ability to work in a multidisciplinary and interdisciplinary environment.
•Experience in developing 3D geographical environments.
•Advanced organizational, prioritization, and time-management skills.
