Bioinformatician, The Centre for Applied Genomics

at  SickKids

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

We are seeking a bioinformatician to assist in the development of machine learning (ML) and artificial intelligence (AI) tools and approaches related to genomics research projects.

QUALIFICATIONS:

• BSc or MSc in bioinformatics, computer science, or related discipline; additional background in genetics/molecular biology is a strong asset.
• Ability to work with and interpret large-scale genomics data sets
• Solid programming skills and experience
• Strong communication and writing skills; results of this research work will be published and communicated within our group and the larger scientific community.
• A commitment to understanding and aiding in the pursuit of equity, diversity and inclusion objectives

As the successful candidate you will:

• Work as part of a team to create novel analytical tools;
• Answer biologically motivated questions by developing and executing methods to interpret genetic variant data;
• Experiment with published tools made available by the larger bioinformatics, ML and AI communities;
• Validate and assess the accuracy of your work by producing statistics/comparing results to publicly available benchmark datasets.