Bioinformatics Analyst

Calliere Group

Bioinformatics Analyst developing and maintaining data workflows for genomic analysis in a biotech setting. Collaborating with diverse teams to build reproducible workflows and analyze omics datasets.

Posted 4/25/2026full-timeRemote • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

LinuxPythonShell ScriptingUnix

About the role

Key responsibilities & impact

Process and analyze genomic and other omics datasets (for example, whole‑genome, whole‑exome, RNA‑seq, or similar assays), including alignment, quality assessment, variant detection, and annotation.
Develop, document, and maintain reproducible analysis pipelines using modern workflow or pipeline tools and scripting languages.
Implement best practices for data quality control, including monitoring run performance, detecting technical issues, and proposing corrective actions.
Integrate data from multiple sources, harmonize formats and metadata, and prepare analysis‑ready datasets.
Work with common bioinformatics tools and file formats (e.g., FASTQ, BAM/CRAM, VCF, BED, GFF/GTF) in a Unix/Linux environment.
Develop and execute exploratory analyses, including cohort‑level summaries, visualization of key metrics, and interpretation of variant and gene‑level results.
Prepare clear, well‑structured reports, figures, and presentation materials describing methods, assumptions, and findings for collaborators with diverse backgrounds.
Contribute to the evaluation and adoption of new algorithms, tools, and workflows in bioinformatics and data analysis.
Collaborate with other team members on study design, analysis plans, timelines, and prioritization of tasks.

Requirements

What you’ll need

Graduate degree or equivalent experience in Bioinformatics, Computational Biology, Genomics, Computer Science, Statistics, or a related field.
Practical experience with next‑generation sequencing data analysis (such as WGS, WES, or RNA‑seq), including quality control, alignment, and variant or expression analysis.
Proficiency in at least one scripting language commonly used in bioinformatics (e.g., Python or R), and familiarity with relevant scientific or data‑analysis libraries.
Experience working in Unix/Linux environments, including shell scripting and command‑line tools.
Familiarity with standard genomics file formats and commonly used open‑source tools for sequence data processing and variant analysis.
Exposure to workflow or pipeline management tools (such as Nextflow, Snakemake, CWL, WDL, or comparable systems), and an understanding of reproducible analysis practices.
Strong organizational skills, attention to detail, and the ability to manage multiple analysis tasks in parallel while meeting agreed timelines.
Clear written and verbal communication skills, including the ability to describe analytical approaches and results to non‑specialists.

Benefits

Comp & perks

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Hard Skills & Tools

genomic data analysisnext-generation sequencingquality controlalignmentvariant detectionscripting languagesdata analysis pipelinesexploratory analysisbioinformatics toolsdata integration

Soft Skills

organizational skillsattention to detailcommunication skillscollaborationtask management