About DNAstack

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. Our platform supports national and international networks tackling rare disease, cancer, infectious disease, and more.

We’re a nimble, cross-functional team of scientists, engineers, designers, and product thinkers working at the intersection of genomics, software, and cloud technologies. Our mission is ambitious, and so is our team.

The Role

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. You will 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. In this customer-facing role, you will act as a bridge between our external partners and internal product teams. You will analyze customer technical needs, guide them through implementation, and ensure they successfully leverage our platform for their biomedical research.

This role will work on a diverse set of projects, disease areas, and research questions in a fast-paced environment. A strong research background is required so you can quickly acquaint themselves with varied data types, analysis tools, and best practices as new projects and opportunities arise. You’ll help shape our product direction, build tools that matter, and play a big role in how we scale our impact.

What You’ll Do

• 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)

What We’re Looking For

Nice to Have

• 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 (e.g., sequencing library prep, assay design) is a bonus
• Experience with spatial deconvolution or multi-modal single-cell integration methods

Why This Role Is Exciting

• Impact at scale: Your work will directly influence tools used by national and international genomics networks.
• Build something new: Shape a core function of the company from a small, senior team into a scalable, sustainable group.
• Cross-disciplinary collaboration: Work side by side with engineers, product managers, and scientists to turn bioinformatics into real-world solutions.
• Mission-driven: Contribute to solving rare disease, cancer, and infectious disease challenges by enabling precision medicine.

Where You'll Work

This role offers the flexibility of remote work, with the option to work in person from our Toronto office. This arrangement supports your needs and promotes a healthy work–life balance.

Eligibility

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

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

The salary range for this role is $70,000 to $95,000. At DNAstack, we are dedicated to providing pay transparency to all candidates. Compensation at DNAstack is determined through various factors including but not limited to: comparable salary market data within Canada, technical skill assessment, a holistic view of previous work history, and internal pay equity with other DNAstack team members.

DNAstack is committed to fair and equitable compensation practices. In accordance with the appropriate legislation in each jurisdiction in which we operate, we ensure that our team members are compensated within equal pay ranges for work of equal value, regardless of gender.

We regularly review our compensation practices to identify and address any pay equity gaps. Our approach considers skill, effort, responsibility, and working conditions to ensure that compensation decisions are objective, transparent, and free from bias.

Pay equity is an ongoing process, and we are committed to maintaining compliance with legislative requirements while fostering a workplace that values fairness, respect, and inclusion.

At DNAstack, we are committed to building and fostering an inclusive, accessible environment for everyone. If you have any questions, concerns, or requests regarding accessibility needs at any stage of the interview process, please contact humanresources@dnastack.com
and we will work with you to meet your needs.

As a small but mighty team, we use AI-powered tools to help us stay organized and efficient during our hiring processes. These tools help in areas such as sorting applications and highlighting matches to the role. These tools help us move faster, but they definitely don't make decisions for us - every application is reviewed by a real human on our team.

Your privacy matters to us. Any information you share is handled according to Ontario privacy laws as well as our internal privacy practices. If you have any questions about how we use AI in our hiring process, please reach out to humanresources@dnastack.com.

Note: this posting is for an existing vacancy that we are seeking to fill.

For compliance reasons, all offers of employment at DNAstack are conditional upon a successful background check that may consist of prior employment verification, reference checks, education confirmation, criminal background, or other information, as permitted by law.