[Hiring] Bioinformatics Analyst @DNAstack

Role Description

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.

• Work both independently and directly with external researcher partners to investigate, compare, and validate different approaches to omics data analysis.
• Create custom tools and pipelines where needed.
• Use standardized and best-in-class technologies and write clear documentation to ensure that your work can be reused and built upon by the community.
• 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.
• Act as a bridge between external partners and internal product teams.
• Analyze customer technical needs, guide them through implementation, and ensure they successfully leverage our platform for their biomedical research.
• Work on a diverse set of projects, disease areas, and research questions in a fast-paced environment.
• Shape our product direction, build tools that matter, and play a big role in how we scale our impact.

Qualifications

• Master’s degree in bioinformatics, computational biology, biostatistics, or equivalent industry experience.
• 3+ years of hands-on experience building and running NGS analysis pipelines.
• Ability to work in a fast-paced startup environment with a bias toward action, a willingness to learn new things, and a pragmatic approach to tradeoffs.
• Excellent troubleshooting skills.
• Strong programming and scripting skills (Python preferred; R, SQL, Java, or bash also valued).
• Strong command-line experience.
• Experience with workflow languages like WDL, CWL, Nextflow, or Snakemake.
• Strong grasp of genomics file formats and tools.
• Strong interpersonal and communication skills.
• A background in biology/genetics with proven critical thinking and research skills.
• Excellent communication and project management skills.
• Experience with single-cell or single-nucleus RNA-seq analysis.
• Familiarity with spatial transcriptomics platforms and common single-cell data formats.

Requirements

• Experience with clinical genomics, ACMG variant interpretation, or diagnostic pipelines.
• Statistical and visualization skills for exploring -omics datasets.
• Familiarity with public datasets (e.g., gnomAD, TCGA, ENCODE) and FAIR data principles.
• Experience working with biological databases or data integration projects.
• Experience with cloud computing (GCP, AWS, or Azure) or HPC environments.
• Wet lab experience in genomics is a bonus.
• Experience with spatial deconvolution or multi-modal single-cell integration methods.
• Background in a disease area relevant to genomic medicine.
• Experience with cloud-based research analysis platforms or federated data access workflows.

Benefits

• Remote friendly, with flexible hours and the opportunity to work on-site at our Toronto office.
• Comprehensive health benefits: medical, dental and vision coverage for you and your dependents.
• Three weeks vacation.
• Unlimited sick days.
• Maternity and parental leave top-up programs.
• One-time remote office set-up stipend.
• Career development and learning support.
• Opportunity to participate in DNAstack's Employee Stock Option Program.
• Opportunity to contribute to open science and global data-sharing efforts.