Jr. Machine Learning Specialist

7 months ago

Toronto, Canada SickKids Full time

**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**: Risk estimation of deterioration in the ICU (RED)

The AI in Medicine (AIM) initiative team at SickKids is looking for a junior machine learning to join the team and work on this project.

**Here's What You'll Do**:
The new hire's duties include, but are not limited to:

- Contribute to clinical data collection, cleaning, and preparation for AI model training. Work with healthcare data sets to ensure model development uses high-quality, relevant data.
- Research and Design: Help create a cutting-edge ML model. The ICU risk of deterioration in critically unwell children is estimated using this approach. Developing a predictive method for arrhythmia identification and treatment will be the focus.
- Collaborative Innovation: Problem-solve and innovate with the ML specialist to solve project issues. This person drives the endeavor to improve pediatric ICU care through technology.

**Skills or Experience required**:
Academic or work experience with the following:

- Time Series analysis techniques.
- Processing data and training different ML models.
- Developing and implementing algorithms for processing large datasets.
- Proficiency with Python and shell scripting.
- Working in collaboratively with the different AIM members.

**Skills or Experience Recommended**:
Academic or work experience with the following:

- Developing ML models based on clinical or biomedical data.
- Strong understanding of statistics.
- Employment Type: Full-time Temporary 4 Month Contract, 1.0FTE**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.

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

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