Top Benefits
About the role
About Us
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 - your mandate will be to scale both the people and the function as our product and company grow: developing and coaching our individual contributors, setting the direction for bioinformatics at DNAstack, partnering with engineering and product teams, and advocating for the team’s best interests within our organization. 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
-
Partner with a small, high-performing team of experienced bioinformaticians to shape the future of the function at DNAstack
-
Lead, support, and grow a team of bioinformatics analysts, fostering ownership, development, and a healthy team culture.
-
Define and communicate the bioinformatics roadmap in partnership with product and engineering leadership, ensuring work is impactful and aligned with company priorities.
-
Collaborate closely with engineering, product, and design to deliver integrated, user-facing solutions informed by bioinformatics insights.
-
Represent bioinformatics in company-wide planning, advocating for resources, clarity, and infrastructure.
-
Prioritize incoming requests and balance long-term strategy with short-term business needs.
-
Improve how bioinformatics projects are scoped, tracked, and documented to promote sustainability and transparency.
-
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
-
Graduate degree (Master’s or PhD) in bioinformatics, computational biology, genetics, or a related field — or equivalent practical experience.
-
5+ years of hands-on experience in bioinformatics, with demonstrated expertise in NGS data analysis and production-scale pipelines
-
2+ years experience leading or managing technical teams, with a track record of coaching, mentorship, and team-building
-
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).
-
Solid programming/scripting ability (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
-
Clear, collaborative communicator who thrives in a fast-paced, interdisciplinary startup environment.
Nice to Have
-
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.
-
Previous experience in a startup or early-stage company.
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 a hybrid work environment, allowing you to work both remotely and from our Toronto office. This arrangement supports your needs and promotes a healthy work–life balance. To be considered for this position, you must be eligible to work in Canada.
Benefits
-
Three weeks vacation.
-
Unlimited sick days.
-
Health, dental and vision coverage.
-
Remote friendly with flexible hours.
-
Opportunity to participate in DNAstack’s Employee Stock Option Program.
-
Opportunity to contribute to open science and global data-sharing efforts.
Top Benefits
About the role
About Us
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 - your mandate will be to scale both the people and the function as our product and company grow: developing and coaching our individual contributors, setting the direction for bioinformatics at DNAstack, partnering with engineering and product teams, and advocating for the team’s best interests within our organization. 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
-
Partner with a small, high-performing team of experienced bioinformaticians to shape the future of the function at DNAstack
-
Lead, support, and grow a team of bioinformatics analysts, fostering ownership, development, and a healthy team culture.
-
Define and communicate the bioinformatics roadmap in partnership with product and engineering leadership, ensuring work is impactful and aligned with company priorities.
-
Collaborate closely with engineering, product, and design to deliver integrated, user-facing solutions informed by bioinformatics insights.
-
Represent bioinformatics in company-wide planning, advocating for resources, clarity, and infrastructure.
-
Prioritize incoming requests and balance long-term strategy with short-term business needs.
-
Improve how bioinformatics projects are scoped, tracked, and documented to promote sustainability and transparency.
-
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
-
Graduate degree (Master’s or PhD) in bioinformatics, computational biology, genetics, or a related field — or equivalent practical experience.
-
5+ years of hands-on experience in bioinformatics, with demonstrated expertise in NGS data analysis and production-scale pipelines
-
2+ years experience leading or managing technical teams, with a track record of coaching, mentorship, and team-building
-
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).
-
Solid programming/scripting ability (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
-
Clear, collaborative communicator who thrives in a fast-paced, interdisciplinary startup environment.
Nice to Have
-
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.
-
Previous experience in a startup or early-stage company.
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 a hybrid work environment, allowing you to work both remotely and from our Toronto office. This arrangement supports your needs and promotes a healthy work–life balance. To be considered for this position, you must be eligible to work in Canada.
Benefits
-
Three weeks vacation.
-
Unlimited sick days.
-
Health, dental and vision coverage.
-
Remote friendly with flexible hours.
-
Opportunity to participate in DNAstack’s Employee Stock Option Program.
-
Opportunity to contribute to open science and global data-sharing efforts.