Bioinformatics Analyst

This is a fully remote position, open to applicants in Canada.

📋 Description

• Process and analyze genomic and other omics datasets (such as whole-genome, whole-exome, RNA-seq, or similar assays), which involves alignment, quality assessment, variant detection, and annotation.

• Create, document, and sustain reproducible analysis pipelines utilizing modern workflow or pipeline tools along with scripting languages.

• Apply best practices for data quality control, which includes monitoring run performance, identifying technical issues, and suggesting corrective measures.

• Integrate data from various sources, standardize formats and metadata, and prepare datasets ready for analysis.

• Utilize common bioinformatics tools and file formats (e.g., FASTQ, BAM/CRAM, VCF, BED, GFF/GTF) within a Unix/Linux environment.

• Conduct exploratory analyses, including cohort-level summaries, visualization of key metrics, and interpretation of variant and gene-level results.

• Generate clear, well-structured reports, figures, and presentation materials that describe methods, assumptions, and findings for collaborators with various backgrounds.

• Participate in the assessment and adoption of new algorithms, tools, and workflows in bioinformatics and data analysis.

• Collaborate with team members on study design, analysis plans, timelines, and task prioritization.

⛳️ Requirements

• A graduate degree or equivalent experience in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related discipline.

• Practical experience in next-generation sequencing data analysis (such as WGS, WES, or RNA-seq), covering quality control, alignment, and variant or expression analysis.

• Proficiency in at least one scripting language widely used in bioinformatics (e.g., Python or R), along with familiarity with relevant scientific or data-analysis libraries.

• Experience in Unix/Linux environments, including shell scripting and command-line tools.

• Knowledge of standard genomics file formats and commonly used open-source tools for processing sequence data and analyzing variants.

• Exposure to workflow or pipeline management tools (such as Nextflow, Snakemake, CWL, WDL, or similar systems) and a comprehension of reproducible analysis practices.

• Strong organizational skills, meticulous attention to detail, and the capability to handle multiple analysis tasks concurrently while adhering to agreed timelines.

• Excellent written and verbal communication skills, including the ability to convey analytical approaches and results to non-specialists.

🏝️ Benefits

• TBA