A recent PhD and extensive practical research experience in the fields of bioinformatics or computational biology is required along with at least one research project as evidenced by a first author paper published or accepted in a well recognized peer-reviewed journal. Good programming skills in R as well as either C or Python are also essential. Familiarity with graph theory and algorithms.
Description: A programmer/analyst with strong computational skills is wanted to work on high throughput sequence data and data integration. Specifically this position will help process and develop analysis paradigms for data from The Cancer Genome Atlas project, the ENCODE
project and the modENCODE projects. These data will be integrated with other data to help provide better models for interpreting high throughput genomic data.
Requirements:
MS/PhD in computer science, statistics, bioinformatics or related field
Excellent working knowledge of R
Experience with C, Java or Python an asset
Experience with next-gen sequencing data an asset
Ability to work independently
Good oral and written communication skills
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