Bioinformatics Analyst

At DNAstack, our mission is to power precision medicine by building software that breaks down barriers to responsible biomedical data sharing, discovery, and analysis. We build cutting-edge software and industry standards to help researchers and clinicians analyze sequencing data and make faster, more accurate diagnoses.

We’re looking for an experienced Bioinformatics Analyst to join our bioinformatics team on a full-time, 12-month contract. You’ll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale.

You’ll work both independently and directly with external researcher partners in order to investigate, compare, and validate different approaches to omics data analysis, creating custom tools and pipelines where needed. Projects span a wide range of disease areas and data modalities, including multi-omics integration, spatial and single-cell transcriptomics, and cross-cohort analysis on federated cloud research platforms.

Location: Toronto, Ontario (Remote)
Employment Type: Full-Time, 12-month contract
Salary Range: $100,000 to $150,000

• Work with the team to develop and optimize reproducible, scalable, and well-documented pipelines using WDL, Docker, and cloud-based infrastructure (e.g. GCP, AWS, Azure)
• Collaborate with partners in academia and industry to develop pipelines to process and harmonize a variety of genomics datasets
• Evaluate, compare, and validate analysis methods using best-in-class tools (e.g., GATK, bcftools, samtools, VEP, etc.)
• Support workflows handling a variety of -omics data types (e.g., WGS, WES, RNA-seq, methylation, tumour/normal, proteomics, etc.)
• Communicate complex bioinformatics results and methodologies clearly to technical and non-technical stakeholders
• Contribute scientific expertise to product development and strategy
• Stay current with new methods and standards in genomics and participate in open-source initiatives
• Analyze customer technical needs to provide tailored recommendations for pipeline implementation
• Improve product offerings by synthesizing customer feedback and advocating for user needs with internal cross-functional teams

Required:

• Master’s degree in bioinformatics, computational biology, biostatistics, or equivalent industry experience
• 3+ years of hands-on experience building and running NGS analysis pipelines
• Strong programming and scripting skills (Python preferred; R, SQL, Java, or bash also valued)
• Experience with workflow languages like WDL, CWL, Nextflow, or Snakemake
• Strong command-line experience and grasp of genomics file formats and tools
• Strong interpersonal and communication skills able to translate between technical and scientific worlds
• Experience with single-cell or single-nucleus RNA-seq analysis
• Familiarity with spatial transcriptomics platforms and common single-cell data formats

Nice to Have:

• Experience with clinical genomics, ACMG variant interpretation, or diagnostic pipelines
• Experience with cloud computing (GCP, AWS, or Azure) or HPC environments
• Familiarity with public datasets (e.g., gnomAD, TCGA, ENCODE) and FAIR data principles
• Background in a disease area relevant to genomic medicine (e.g., neurodegeneration, oncology, rare disease)

To be considered for this position, you must be eligible to work in Canada.