Research Associate / Computational Biologist/ Bioinformaticist

Institution/Company:
University of British Columbia
Location:
Vancouver, BC, Canada
Job Type:
  • Faculty (Term appointment, annual renewal)
Degree Level Required:
PhD
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Research Associate / Computational Biologist/ Bioinformaticist

Specific projects will involve the human immune response, cystic fibrosis, sepsis, bacterial mobility, bovine Tb as well as novel peptide therapeutics that target inflammation. This position involves running genome sequencing data analysis pipelines, testing and maintenance of existing sequence-analysis pipelines, automation of routine programming and data-analysis tasks and workflows, managing and processing genomic data, interpretation of results and, where necessary, contributing to the development of software implementing novel algorithms and statistical models. The successful candidate will provide consultation to researchers on study design, analysis and statistical methods.

Responsibilities:

  • running genome sequencing data analysis pipelines
    -testing and maintenance of existing sequence-analysis pipelines
    -automation of routine programming and data-analysis tasks and workflows
    -managing and processing genomic data, interpretation of results
    -contributing to the development of software implementing novel algorithms and statistical models.
    -experimental design with wet lab researchers for optimal bioinformatic analysis

Qualifications:

-completion of a PhD in a biological science discipline (Biology/Microbiology/Immunology/Biochemistry/Cell Biology)
-minimum of five years of postdoctoral research experience.
-Track record of publishing in top-level, peer-reviewed journals.
-Demonstrated expertise in bacterial genetics, immunology and cell biology.
-Demonstrated experience in analyzing transcriptomic data sets.
-Demonstrated ability to work productively in a collaborative research team.
-Effective and proven written and oral communication skills.

Additional experience required:

• Experience in working with next generation sequencing data and related analysis tools and workflows
• Experience with RNA-Seq data analysis is essential
• 5+yrs experience working in a research or corporate environment
• Strong knowledge of Unix/Linux operating system
• Considerable programming/scripting skills in R and Python
• Familiarity with human genome databases (Ensembl, UCSC genome browser, NCBI)
• Familiarity with parallel computing environments (Linux clusters, SunGridEngine, etc
• Experience with bioinformatics tools such as Bioconductor considered an asset
• Experience in development of algorithms/machine learning/statistical models for bioinformatics considered an asset
• Experience with STAR alignment an asset
• Experience with data sets from human biological samples an asset
• Demonstrated excellence in training graduate students, undergraduate students and other personnel in bioinformatic analysis methods

  • How to Apply

    To Apply: Submit a CV, a short (1-2-page) description of research interests and experience, and contact information for at least two references by e-mail to: careers@hancocklab.com and please include the job number RA012019 in the subject line. Deadline for applications is Monday December 10, 2018.

Additional Information

Equity and diversity are essential to academic excellence. An open and diverse community fosters the inclusion of voices that have been underrepresented or discouraged. We encourage applications from members of groups that have been marginalized on any grounds enumerated under the BC Human Rights Code including sex, sexual orientation, gender identity or expression, racialization, disability, political belief, religion, marital or family status, age, and/or status as a First Nation, Metis, Inuit or Indigenous person. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Applicants with PhDs in Bioinformatics and/or Computer Science need to show demonstrated experience with biological data and a strong comprehension of human biological systems.

For additional information about the Hancock lab and the department, please visit http://cmdr.ubc.ca/bobh/ and https://microbiology.ubc.ca/.

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