Bioinformatics Analyst

Job description

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 . 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) 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 Contribute to team practices around high-quality product delivery and strong technical and scientific fundamentals Analyze customer technical needs to provide tailored recommendations for pipeline implementation, and train customers and partners on how to best utilize our platforms Improve product offerings by synthesizing customer feedback and advocating for user needs with internal cross-functional teams, including Product Management and Engineering What We’re Looking For Master’s degree in bioinformatics, computational biology, biostatistics, or equivalent industry experience 5+ 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—you’re the person others come to when things break 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 able to translate between technical and scientific worlds A background in biology/genetics with proven critical thinking and research skills Excellent communication and project management skills, with a proven track record of handling multiple customers, stakeholders, and concurrent streams of work 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 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 Background in a disease area relevant to genomic medicine (e.g., neurodegeneration, oncology, rare disease) Experience with cloud-based research analysis platforms or federated data access workflows 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. Team culture: Enjoy a flexible, remote-friendly team culture along with a competitive salary, benefits, and employee stock option program. 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 $100,000 to $150,000. 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 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 . 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.