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Bioinformatics Engineer Jobs in Ontario (NOW HIRING)

We're a nimble, cross-functional team of scientists, engineers, designers, and product thinkers ... The Role We're looking for a Bioinformatics Team Manager to lead and grow our team of exceptional ...

We're a nimble, cross-functional team of scientists, engineers, designers, and product thinkers ... The Role We're looking for an experiencedBioinformatics Analyst to join our bioinformatics team on ...

Bachelor's or Master's in Computer Science, Software Engineering, Bioinformatics, or related technical field. * Strong proficiency in Python (OOP, design patterns) and solid understanding of data ...

CA$140K - CA$225K/yr

Background in computational biology, bioinformatics, or structural biology * Experience with large-scale data engineering and ETL pipelines * Familiarity with MLOps practices and model deployment ...

With expertise spanning machine learning, bioinformatics, data science, engineering, and drug development, our multidisciplinary team in Toronto and Cambridge, MA is revolutionizing how new medicines ...

You hold a Bachelor's or Master's degree in Computer Science, Statistics, Bioinformatics, Data Science, or a related field * You have typically 1-3 years of experience in statistical programming ...

Product Owner - LMP AI Workflows

Unionville, ON ยท On-site

CA$125K - CA$180K/yr

Familiarity with bioinformatics tools and ML frameworks for scientific applications. * Strong understanding of UX/UI, application design, and data engineering principles. * Experience with cloud ...

Product Owner - LMP AI Workflows

Mississauga, ON ยท On-site

CA$125K - CA$180K/yr

Familiarity with bioinformatics tools and ML frameworks for scientific applications. * Strong understanding of UX/UI, application design, and data engineering principles. * Experience with cloud ...

Product Owner - LMP AI Workflows

Toronto, ON ยท On-site

CA$125K - CA$180K/yr

Familiarity with bioinformatics tools and ML frameworks for scientific applications. * Strong understanding of UX/UI, application design, and data engineering principles. * Experience with cloud ...

Product Owner - LMP AI Workflows

Brampton, ON ยท On-site

CA$125K - CA$180K/yr

Familiarity with bioinformatics tools and ML frameworks for scientific applications. * Strong understanding of UX/UI, application design, and data engineering principles. * Experience with cloud ...

Product Owner - LMP AI Workflows

Maple, ON ยท On-site

CA$125K - CA$180K/yr

Familiarity with bioinformatics tools and ML frameworks for scientific applications. * Strong understanding of UX/UI, application design, and data engineering principles. * Experience with cloud ...

Bioinformatics Engineer information

See Ontario salary details

$86K

$151.1K

$245.5K

How much do bioinformatics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for bioinformatics engineer in Ontario is $151,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $168,000.00 per year, depending on experience, location, and employer.

What is a bioinformatics engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a bioinformatics engineer?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What are some common challenges faced by bioinformatics engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What are popular job titles related to Bioinformatics Engineer jobs in Ontario? For Bioinformatics Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineer jobs in Ontario look for? The top searched job categories for Bioinformatics Engineer jobs in Ontario are:
Infographic showing various Bioinformatics Engineer job openings in Ontario as of July 2026, with employment types broken down into 7% Internship, 3% As Needed, 68% Full Time, 8% Part Time, 1% Temporary, and 13% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $151,128 per year, or $72.7 per hour.

Bioinformatics Team Manager

DNAstack

Toronto, ON โ€ข On-site

Full-time

Medical, Dental, Vision, PTO

Re-posted 16 days ago


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 a Bioinformatics Team Manager to lead and grow our team of exceptional bioinformatics analysts. This is a people leadership and function-building role first. The team has strong technical depth - we are looking for someone who can grow those people, earn the trust of senior leadership, advocate for the team's best interests, and build the organizational muscle the function needs to scale. This is an opportunity to build a core function in a company where bioinformatics isn't just support work - it's central to the mission.

What You'll Do

  • Lead a small, senior team with a genuine commitment to individual growth - including regular development conversations, clear feedback, and helping people build careers.
  • Collaboratively shape the future of the function at DNAstack
  • Define and communicate the bioinformatics roadmap in partnership with product and engineering leadership, ensuring work is impactful and aligned with company priorities.
  • Build and maintain credibility with senior leadership by proactively communicating the function's direction, surfacing risks and tradeoffs clearly, and making the case for staffing and investment with evidence
  • Improve how bioinformatics projects are prioritized, scoped, tracked, and documented to promote sustainability and transparency.
  • Collaborate closely with engineering, product, and design to deliver integrated, user-facing solutions informed by bioinformatics insights.
  • Contribute to hiring, onboarding, and scaling the team as the company grows.
  • Stay current on industry tools, standards, and datasets, bringing best practices into the team.


What We're Looking For

  • 3+ years managing technical teams, including the harder parts: career development conversations, navigating team dynamics, and holding people accountable while genuinely supporting their growth
  • Ability to communicate bioinformatics priorities and constraints to technical and non-technical senior leadership and build trust through transparency and follow-through
  • Strong understanding of genomics and bioinformatics, with the ability to engage in scientific discussions and shape technical direction.
  • Experience with core bioinformatics tools and data types (e.g., BAM, VCF, FASTQ; samtools, bcftools, etc.) and pipeline frameworks (WDL, Nextflow, Snakemake, CWL).
  • Knowledge of programming/scripting frameworks (Python, R, or similar), with enough depth to review work, guide decisions, and support debugging.
  • Familiarity with cloud and/or HPC computing environments and reproducibility best practices.
  • A strategic mindset with the ability to help prioritize work, scope new projects, and connect technical decisions to product and scientific goals
  • 5+ years of hands-on experience in bioinformatics, with demonstrated expertise in NGS data analysis and production-scale pipelines
  • Graduate degree (Master's or PhD) in bioinformatics, computational biology, genetics, or a related field - or equivalent practical experience.


Nice to Have

  • Previous experience in a startup or early-stage company.
  • Statistical and visualization skills for exploring -omics datasets
  • Experience with biological databases, data integration, or public datasets (gnomAD, TCGA, ENCODE).
  • Familiarity with FAIR data principles and current genomics standards.


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 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.