Dedicated exclusively to children and their families, The Hospital for Sick Children (SickKids) is one of the largest and most respected paediatric healthcare centres in the world. As innovators in child health, we lead and partner to improve the health of children through the integration of healthcare, leading-edge research and education. Our reputation would not have been built - nor could it be maintained - without the skills, knowledge and experience of the extraordinary people who come to work here every day. SickKids is committed to ongoing learning and development, and features a caring and supportive work environment that combines exceptionally high standards of practice.

When you join SickKids, you become part of our community. We share a commitment and determination to fulfill our vision of Healthier Children. A Better World .

Don't miss out on the opportunity to work alongside the world's best in paediatric healthcare.

At Intelligent Medical Informatics Computing Systems (IMICS) Lab at the Hospital for Sick Children (fully affiliated with The University of Toronto), we conduct high-throughput research in design and development of Artificial Intelligence (AI) solutions for Medicine. The Postdoctoral Research Fellow will work in close collaboration with the PI, clinicians, graduate students and other researchers on a research project focused on Multimodal Deep Learning for Medicine: Utilizing imaging, text, and clinical data for disease diagnosis and prognosis.

Here's What You'll Get To Do

• Medical data collection, curation, and management.
• Algorithm design and development for medical image analysis, machine (deep) learning, and statistical modeling solutions for different tasks (e.g. segmentation and classification)
• Design and development of multimodal deep learning for medicine: Utilizing imaging, text, and clinical data for disease diagnosis and prognosis.
• Perform quality control procedures to ensure accuracy of algorithms and completeness of collected data.
• Work closely with the deployment team to integrate the newly developed algorithms into the current system.
• Preparing scientific manuscripts and reports.

Here's What You'll Need

• PhD degree in Computer Science or a related field
• Strong knowledge in multimodal deep learning, including medical imaging and large language models (LLMs), and foundation models
• Prior related publications
• Strong scientific programming skills with Python (PyTorch)
• Excellent technical writing for scientific publications
• Excellent communication and problem-solving skills
• Ability to work well with a team and to use initiative in achieving goals
• Experience in research coordination, data collection and management
• A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives

Type Of Employment

• Full-time
• One Year contract (renewable based on funding and performance)
• Salary: $70K/year

SickKids is committed to championing equity, diversity and inclusion in all that we do, fostering an intentionally inclusive and culturally safe environment that reflects the diversity of the patients, families and communities we serve. Learn more about workplace inclusion.

If you require accommodation during the application process, please reach out to our aSKHR team. SickKids can provide access and inclusion supports to eligible candidates to support their full engagement during the interview and selection process as well as to ensure candidates are able to perform their duties once successfully hired. If you are invited for an interview and require accommodation, please let us know at the time of your invitation to interview. Information received related to access, inclusion or accommodation will be addressed confidentially.

Technical difficulties? Email ask.hr@sickkids.ca with a short description of the issues you are experiencing. We will not accept resumes sent to this inbox but we are happy to respond to requests for technical assistance.

Tip: Combine your cover letter and resume into ONE document of 20 pages or less as you cannot upload multiple documents as part of your application.