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Internship Bioinformatics Software Engineer Jobs in Toronto, ON

... engineers, designers, and product thinkers working at the intersection of genomics, software, and ... The Role Were looking for a Bioinformatics Team Manager to lead and grow our team of exceptional ...

... engineers, designers, and product thinkers working at the intersection of genomics, software, and ... The Role We're looking for a Bioinformatics Team Manager to lead and grow our team of exceptional ...

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 ...

... engineers, designers, and product thinkers working at the intersection of genomics, software, and ... The Role We're looking for an experiencedBioinformatics Analyst to join our bioinformatics team on ...

... engineers, designers, and product thinkers working at the intersection of genomics, software, and ... The Role We're looking for an experiencedBioinformatics Analyst to join our bioinformatics team on ...

We are looking for an enthusiastic and motivated software engineer to join our marketplace teams ... internships, personal projects, or academic projects are highly valued). * Technical Skills ...

... the full software development lifecycle. This role is ideal for a developer with hands-on ... internships/co-op experience considered) * Strong understanding of JavaScript and modern web ...

The role of the Software Engineer Intern (Java) is to work with other application/platform ... Background in project management tools like JIRA or DevOps Note: * 12 month Co-op / Internship:

Associate AI Engineer

Toronto, ON ยท Hybrid

CA$60K - CA$80K/yr

Internship, co-op, academic project, or personal project experience in software engineering, AI/ML, or backend development * Proficiency in Python and familiarity with libraries or frameworks such as ...

Software Developer

Toronto, ON ยท On-site

CA$97K - CA$100K/yr

About the Role We are seeking a versatile and results-oriented Software Developer with expertise in ... Experience mentoring junior developers or interns. Perks: * Generous wellness program * Best-in-the ...

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Internship Bioinformatics Software Engineer information

What is the difference between Internship Bioinformatics Software Engineer vs Bioinformatics Data Analyst?

AspectInternship Bioinformatics Software Engineer
Required CredentialsEnrolled in or recent graduate of Computer Science, Bioinformatics, or related fields
Work EnvironmentResearch labs, biotech companies, or academic institutions
Employer & Industry UsageUsed in biotech, pharmaceutical, and research organizations for software development
Common Search & ComparisonCompared for entry-level software development roles in bioinformatics

While both roles involve working with biological data, an Internship Bioinformatics Software Engineer focuses on developing software tools and algorithms, often requiring programming skills and software development knowledge. A Bioinformatics Data Analyst primarily analyzes biological data, using statistical and data visualization tools. The internship provides hands-on experience in coding and software creation, whereas a data analyst role emphasizes data interpretation and reporting.

What does an Internship Bioinformatics Software Engineer do?

An Internship Bioinformatics Software Engineer assists in developing and maintaining software tools used to analyze biological data, such as DNA sequences or protein structures. They often work under the supervision of senior engineers and scientists to write code, troubleshoot issues, and implement algorithms for biological research. Interns may also help process large datasets, visualize results, and collaborate with interdisciplinary teams. This role provides hands-on experience in both software development and the application of computational methods to biological problems.

What types of projects do Internship Bioinformatics Software Engineers typically work on, and how do these projects contribute to their professional development?

Internship Bioinformatics Software Engineers often work on projects involving the development and optimization of software tools for analyzing large biological datasets, such as genomic sequences or protein structures. These projects frequently require collaboration with biologists and data scientists, offering valuable exposure to interdisciplinary teamwork. Interns may be tasked with writing code, testing algorithms, or visualizing data, all of which build practical skills in both software engineering and bioinformatics. This hands-on experience not only enhances technical proficiency but also helps interns better understand real-world applications in life sciences, setting a strong foundation for future career growth.

What are the key skills and qualifications needed to thrive as an Internship Bioinformatics Software Engineer, and why are they important?

To thrive as an Internship Bioinformatics Software Engineer, you need a foundational understanding of programming (often in Python, R, or Java), basic knowledge of molecular biology or genomics, and current pursuit of a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools (such as BLAST, Bioconductor, or Galaxy), version control systems like Git, and experience analyzing biological datasets are typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help interns collaborate and learn in multidisciplinary teams. These skills and qualities ensure interns can contribute to meaningful research, adapt quickly to new technologies, and facilitate teamwork in complex scientific environments.
What are the most commonly searched types of Bioinformatics Software Engineer jobs in Toronto, ON? The most popular types of Bioinformatics Software Engineer jobs in Toronto, ON are:
Infographic showing various Internship Bioinformatics Software Engineer job openings in Toronto, ON as of July 2026, with employment types broken down into 14% Locum Tenens, 6% Internship, 3% As Needed, 61% Full Time, 6% Part Time, and 10% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.

Bioinformatics Team Manager

DNAstack

Toronto, ON โ€ข Remote

Full-time

Medical, Dental, Vision, PTO

Posted 8 days ago


Job description

Salary:

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.

Were 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

Were 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 teams 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 isnt just support work - its central to the mission.

What Youll 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 Were 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 (Masters 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 worklife 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.