Research assistant in bioinformatics/NGS analysis

Institution/Company:
Douglas Research Centre
Location:
Montreal, QC, Canada
Job Type:
  • Staff (1 year maternity leave replacement, possibility for renewal)
Degree Level Required:
Masters, Bachelor's
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Research assistant in bioinformatics/NGS analysis

Analyzing NGS methylation datasets from start to finish, carrying quality control checks on the sequenced libraries, identifying and removing sequencing biases, aligning reads to the genome, extracting relevant methylation metrics (signal, percentage, position, context, motif, etc.), and conducting downstream statistical analyses.

Responsibilities:

• Synthesize the results and clearly communicate and transfer the data to other lab members. • Manage the data they generate and its backup. • Keep a detailed log of how analyses were carried out in order to facilitate transparency and reproducibility of the results. • Manage their own time according to the various deadlines of the projects they are working on. • Attend lab meetings and provide bioinformatic support in this context when necessary.

Qualifications:

MSc in Bioinformatics (or relevant field) OR BSc in Bioinformatics (or relevant field) with at least 9 months of research experience (internship or otherwise).

• Experienced user of UNIX and working on Linux environments through command line. (At least 5 years experience) • Proficiency in Bash and at least one of the following scripting languages (Perl, Python, Ruby). • Knowledge of R and bioconductor is preferred. Knowledge of other programming languages is a plus • Good understanding of statistics is preferred. • Experience working with large datasets is required • Experience with the Compute Canada high-performance clusters is an asset.

• Experience with analyzing NGS data is required • Familiarity with sequencing reads cleaning and trimming tools. • Experience with sequence aligners is required (specifically bowtie2 and STAR). • Experience with bismark is an advantage. • Experience working with ChIP-seq data would be ideal Relevant tools and software: MACS2, ExomePeaks, HOMER • Familiarity with the large -OMICs databases (ei. NCBI, ENSEMBL, UCSC)

• Good understanding of biochemistry is necessary. • Previous experience in epigenetics is an asset. • Fluency in either French or English, as well as being at least conversational in the other is required. • Good communication and people skills. • Good time management and organisational skills. • Creative problem-solving.

  • How to Apply

    Please send a one-page cover letter describing your fit with the position and your CV