Machine Learning Specialist

4 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**:
**Position**: Machine Learning Specialist, Computational Oncology Program

**Location**: Toronto, Ontario CANADA

**Employment Type**: Full-time, 2 Year Contract

Through its institution-wide Precision Child Health program, SickKids is transforming care for children with cancer by incorporating real-time whole genome and transcriptome sequencing tests. As part of this, you will lead machine learning development initiatives for the largest childhood cancer precision medicine program in Canada. In collaboration with Genomics Scientists and Oncologists, you will develop and deploy computational statistics models to better diagnose, treat and track cancer.

**Here’s What You’ll Get to Do**:

- Have the ownership of assigned projects through careful consideration of requirements and strong execution of solution build
- Design analytical methods to support novel approaches of data and information processing
- Develop, train, and validate machine learning algorithms on patient data
- Build end-to-end ML pipelines to model and/or analyze hospital data
- Develop novel tools for the analysis of childhood cancer data, including statistical tests and machine learning models for classification and regression
- Own and manage knowledge sharing within a community
- Mentor and train junior scientists
- Present findings to local and international collaborators

**Here’s What You’ll Need**
- Graduate degree in Computer Science, Science, Statistics, Mathematics or related field
- 3+ years experiences in Python and/or R
- Previous work experience in Machine Learning/Data Science
- Familiarity with the UNIX environment, Bash scripting and high-performance computing
- Strong grasp of statistical and machine learning concepts (statistical tests, multiple testing, matrix factorization, regression, classification, nearest neighbours, dimensionality reduction, clustering, decision trees, neural networks)
- Experience developing and implementing algorithms for the processing of large datasets
- Ability to work independently and in a diverse team environment across multiple projects
- Ability to work collaboratively with stakeholders across a large institution
- Outstanding problem solving and analytical skills
- Excellent verbal and written communication skills along with strong interpersonal skills

**This will make you extra competitive**:

- Experience working with RNASeq data, gene expression and its analysis (differential expression, gene sets enrichment analysis)
- Familiarity with version control platforms: GitHub, Bitbucket
- Demonstrated knowledge of deep learning models development and implementation;
- Proficiency with statistical and machine learning packages, such as mlr3, scikit-learn, and at least one of the following: Keras (Tensorflow) or PyTorch.
- Basic knowledge of ML optimization strategies.
- Experience building and working with bioinformatics pipelines and workflow management systems
- This position offers benefits including health and dental coverage, vacation/personal days, and access to a number of employee benefits, including our Wellness program._

**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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