Stagiaire En Programmation, Développement Et Innovation - Transport - Automne 2024

Job Description

About SickKids

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.

Position Description

Project: Predicting the return visit and admission rates in the ED

Internship Description:

During a patient's visit to the emergency department, many important medical decisions are made: should the patient stay in the hospital, or will they need to return within 72 hours? Knowing these answers ahead of time, before the patient sees a doctor or nurse, can speed up their care in the emergency department and improve the quality of treatment they receive. The challenges of this project include dealing with multimodal text, numeric data, and time series; real-world challenges such as noisy and missing data; and incorporating expert knowledge in the complex clinical healthcare setting. Successful projects will benefit from existing paths to deploy models in the Emergency Department and provide meaningful real-world benefits.

The AI in Medicine (AIM) initiative team at SickKids is looking for a machine learning intern to join the team and work on these research questions.

New hire responsibilities:

The Junior Machine Learning Intern Student's duties include, but are not limited to:

• Collaborate with Machine learning Specialists and System engineers at AIM
• Research and Design: Help iterate and engineer different ML models:
• Patients' admission project.
• Patients' return visit project.

Skills or Experience required:

Academic or work experience with the following:

• Experience with data processing and ML model training.
• Proficiency with Python.

Skills or Experience Recommended:

Academic or work experience with the following:

• Developing ML models based on clinical or biomedical data.
• Developing and implementing algorithms for processing large datasets.
• Strong understanding of statistics.
• A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives

Employment Type: 1.0 FTE, 6 month contract

Our Commitment to Diversity

The children and families we care for are from a variety of communities, and so are our employees. We welcome and encourage everyone to join our organization and be part of our team.

When requested, SickKids will provide access and inclusion supports to eligible candidates to support their full engagement during the interview and assessment process. Information received related to access or inclusion will be addressed confidentially.

Thank you for your interest in joining SickKids. Only those applicants selected for an interview will be contacted. In accordance with our Hospital policy, employment at SickKids is conditional upon the Hospital¿s receipt of all necessary documentation.

How to Apply

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.

If you are still experiencing technical difficulties please email ask.hr@sickkids.ca to send us a short description of the issues you are experiencing. Please note that we will not accept resumes sent to this inbox but we are happy to respond to requests for technical assistance.