Computational Biologist

Institution/Company:
Hoffman La Roche
Location:
Mississauga, ON, Canada
Job Type:
  • Staff
Degree Level Required:
PhD
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Computational Biologist

Looking for interdisciplinary scientist with experience in computing and biology to perform scientific data analyses in partnership with Genentech Research and Early Development (gRED) from the Roche Canada office in Mississauga, Ontario.

Dynamic and prestigious work environment, interesting projects using the newest technologies, all within a global IT function; Opportunity to design and implement software solutions for the world’s largest biotech company that transforms patients’ lives; Attractive and competitive salary and package; Professional development culture supported by training, development plans, and international opportunities. Join the growing team of Roche Canada scientists and be a part of the groundbreaking research happening at Genentech Research and Early Development (gRED).

Responsibilities:

Engage with partner scientists at Genentech, understand their biological questions, and use public and internal databases to provide reliable scientific answers. Running existing pipelines to process and analyze sequencing data. Reporting, documenting and visualizing data analysis results using open source and internally developed tools. Occasional development of custom R/Shiny applications.

Qualifications:

Strong background, experience, or degree in biomedical field is preferred (eg. Oncology, Neuroscience, Immunology, Microbiology, Genetics, etc.). History of scientific authorship. (First, middle, and senior author articles all beneficial.) Experience with version control and issue tracking systems (eg. git, JIRA). Experience with SQL and no-SQL databases. Experience working with High Performance Computing (HPC) environments. Machine Learning and Data Mining skills are a benefit. Please briefly highlight publications/experience with computational analysis of Single Cell (eg. scRNAseq), ATACseq, ChipSeq, GWAS, WES, Gene Set or Pathway Analyses, and related datasets. Please briefly highlight publications/experience with epigenetic, proteomic, lipidomic, functional genomic, iPSC, structural biology, or microbiome analyses.

Additional Information

Please submit full academic CV with publication history and cover letter.

In your cover letter please highlight key scientific publication(s) (or experiences) that emphasize your personal biological and computational scientific contributions.

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