Molecular Geneticist / Computational Biologist

Deep Genomics
Job Location
101 College Street
Suite 320
Toronto, ON M5G1L7
  • Leading role in developing the future of genomic analysis and therapy
  • Inspiring, creative, and fast-moving startup work environment in downtown Toronto
  • Competitive compensation package
Job Description

We are seeking a highly motivated molecular geneticist with basic computational skills to help evaluate molecular effect predictors using ClinVar and other variant databases, curate variant effects from the literature, help interpreting results from whole exome and whole genome sequencing. The position will report directly to the Director of Molecular Diagnostics and will involve close interactions with other company members.

    • MSc or PhD in Molecular Genetics or related fields
    • Familiarity with variant annotation resources (e.g. RefSeq, Annovar, dbSNP, SIFT, UCSC genome browser)
    • Experience with human genetic variant interpretation and curation
    • Basic working knowledge of at least one scripting language (e.g. R, Python, Perl, Ruby) to perform tasks such as importing and filtering a data-set, computing simple classification performance metrics

 Preferred but optional qualifications:

    • Strong preference will be given to candidates with a PhD
    • Knowledge of R and Python will be preferred to other languages
    • Experience interpreting human exome/whole genome data
    • Experience with ClinVar 
    • A track record of peer-reviewed publication in the human genetic field
How to Apply

To apply for this position, please click on the below link:

About Our Organization

Deep Genomics is a Toronto based startup aiming to revolutionize genome analysis using machine learning. It was founded by a team of scientists from the University of Toronto led by Dr. Brendan Frey, a world-leading researcher in the area of machine learning and genome biology. 

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