Machine Learning Specialist

2 weeks 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**:
SickKids will be developing and implementing machine learning models to improve patient outcomes and deliver individualized precision child health. In this role, you will work with clinicians to identify clinical scenarios for deployment, develop robust machine learning models that are fair and useful, and evaluate deployed models.

**Here’s What You’ll Do**:

- Contribute to the development of a program centered on machine learning with an initial focus on data from electronic health records
- Design analytical methods to support novel approaches of data and information processing
- Train, develop, and validate machine learning algorithms on hospital data
- Build end-to-end data pipelines for machine learning models with strong quality control checks and bias assessment
- Rapidly prototype models for exploratory analysis and assess project viability
- Generate and test working hypotheses
- Provide technical support for program management and business development activities including proposal writing and customer development
- Own and manage knowledge sharing within a community
- Mentor and train other junior data scientists and machine learning specialists
- Develop and support training and development opportunities for SickKids staff who want more opportunities to use machine learning.

**Here’s What You’ll Need**:

- Previous work experience as a Machine Learning/Data Scientist a minimum of 3-5 years
- Experience developing and implementing algorithms for the processing of large datasets.
- Background in computer science, engineering or a related field with a strong understanding of statistics and scientific research
- Excellent project and time management skills and a strong attention to detail
- Ability to work collaboratively with stakeholders across a large institution
- Outstanding problem solving and analytical skills
- Excellent writing skills to help with development of grants and papers
- Proficiency in SQL, Python and shell scripting
- Ability to work independently and in a diverse team environment
- Excellent verbal and written communication skills along with strong interpersonal skills
- Demonstrated creativity and latitude in problem solving, including the ability to prioritize and execute multiple competing tasks

**Assets**:

- Hands on experience cleaning data and training models for clinical or biomedical data sets
- Knowledge or experience in MLOps
- R
- Knowledge of medicine or biology
- History of publishing papers and contributing to scientific research

**Employment Type**: Full-time Temporary 1 Year 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.

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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