Home › Companies › Dnastack › Bioinformatics Analyst
Bioinformatics Analyst
Dnastack · Remote · Active · $100,000–$150,000 / year · BambooHR
Job facts
| Field | Value |
|---|---|
| Company | Dnastack |
| Title | Bioinformatics Analyst |
| Normalized title | - |
| Department / team | Bioinformatics |
| Location | Toronto, ON, Canada |
| Work model | Remote / Remote |
| Employment type | Full Time |
| Salary | $100,000–$150,000 / year |
| Status | active |
| ATS provider | BambooHR |
| Posted / first seen | 2026-06-03 / 2026-06-02 |
| Changed / last seen | 2026-06-04 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Dnastack. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through BambooHR. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Toronto. | Open |
| Department jobs | Active postings in Bioinformatics. | Open |
| Work model jobs | Active Remote postings. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Dnastack |
| Source | c87800cc-6285-4d3e-8b73-5e268a7a35e1 |
| ATS provider | BambooHR |
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 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)
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 [email protected]
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 [email protected].
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.
Full job record
| Job ID | e159396bb188ae89d049f1bab7ddbb037eca9c60 |
| Org ID | d0214845-6907-4d20-9ab7-0626dd6528ad |
| Source ID | c87800cc-6285-4d3e-8b73-5e268a7a35e1 |
| Board ID | c87800cc-6285-4d3e-8b73-5e268a7a35e1 |
| Provider | bamboohr |
| Provider Job Key | 33 |
| Title | Bioinformatics Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | — |
| Department | Bioinformatics |
| Team | — |
| Employment Type | full_time |
| Workplace Type | remote |
| Remote Policy | remote |
| Country | Canada |
| Region | ON |
| City | Toronto |
| Salary Raw | salary range for this role is $100,000 to $150,000. At DNAstack, we are dedicated to providing pay transparency to all candidates |
| Salary Min | 100,000 |
| Salary Max | 150,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://dnastack.bamboohr.com/careers/33 |
| Apply URL | https://dnastack.bamboohr.com/careers/33 |
| First Seen At | 2026-06-02 10:51:04Z |
| Last Seen At | 2026-06-06 10:28:27Z |
| Last Checked At | 2026-06-06 10:28:27Z |
| Last Changed At | 2026-06-04 11:44:55Z |
| Inactive At | — |
| Source Posted At | 2026-06-03 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=dnastack/date=2026-06-06/2026-06-06T10-28-26-781Z-224106397e4d56d8c8c22cabdddf1a794ecc86e0794f2a70156ac5418cb393dd.json |
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"description": "<p><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">About DNAstack <br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">At <span style=\"font-weight: bold\">DNAstack</span>, 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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">The Role<br></span></p>\n<p><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-family: Inter, sans-serif\">We're looking for an experienced </span><span style=\"font-family: Inter, sans-serif; font-weight: bold\">Bioinformatics Analyst</span><span style=\"font-family: Inter, sans-serif\"> to join our </span><span style=\"font-family: Inter, sans-serif\">bioinformatics team on a <span style=\"font-weight: bold\">full-time, </span></span><span style=\"font-family: Inter, sans-serif; font-weight: bold\">12-month contract</span><span style=\"font-family: Inter, sans-serif\">. You’ll be responsible for developing, optimizing, and maintaining high-performance, cloud-ready genomic pipelines that can be run reproducibly and at scale. </span></span><br></p>\n<p><span style=\"font-size: 12pt\"><br></span></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-family: Inter, sans-serif\">You’ll work both independently and directly with </span><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif\">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.</span></span></p>\n<p><br></p>\n<p><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">What You’ll Do</span></p>\n<ul>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">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)</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Collaborate with partners in academia and industry to develop pipelines to process and harmonize a variety of genomics datasets</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Evaluate, compare, and validate analysis methods using best-in-class tools (e.g., GATK, bcftools, samtools, VEP, etc.)</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Support workflows handling a variety of -omics data types (e.g., WGS, WES, RNA-seq, methylation, tumour/normal, proteomics, etc.)</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Communicate complex bioinformatics results and methodologies clearly to technical and non-technical stakeholders</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Contribute scientific expertise to product development and strategy</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Stay current with new methods and standards in genomics and participate in open-source initiatives</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Contribute to team practices around high-quality product delivery and strong technical and scientific fundamentals</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Analyze customer technical needs to provide tailored recommendations for pipeline implementation, and train customers and partners on how to best utilize our platforms</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Improve product offerings by synthesizing customer feedback and advocating for user needs with internal cross-functional teams, including Product Management and Engineering</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">What We’re Looking For</span></p>\n<ul>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Master’s degree in bioinformatics, computational biology, biostatistics, or equivalent industry experience</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">5+ years of hands-on experience building and running NGS analysis pipelines</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Excellent troubleshooting skills—you’re the person others come to when things break</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Strong programming and scripting skills (Python preferred; R, SQL, Java, or bash also valued)</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Strong command-line experience</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience with workflow languages like WDL, CWL, Nextflow, or Snakemake</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Strong grasp of genomics file formats and tools</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Strong interpersonal and communication skills able to translate between technical and scientific worlds</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">A background in biology/genetics with proven critical thinking and research skills</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Excellent communication and project management skills, with a proven track record of handling multiple customers, stakeholders, and concurrent streams of work</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience with single-cell or single-nucleus RNA-seq analysis</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Familiarity with spatial transcriptomics platforms and common single-cell data formats</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience with clinical genomics, ACMG variant interpretation, or diagnostic pipelines</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Statistical and visualization skills for exploring -omics datasets</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Familiarity with public datasets (e.g., gnomAD, TCGA, ENCODE) and FAIR data principles</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience working with biological databases or data integration projects.</span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: Inter, sans-serif\">Experience </span><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif\">with cloud computing (GCP, AWS, or Azure) or HPC environments</span></span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Wet lab experience in genomics (e.g., sequencing library prep, assay design) is a bonus</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience with spatial deconvolution or multi-modal single-cell integration methods</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Background in a disease area relevant to genomic medicine (e.g., neurodegeneration, oncology, rare disease)</span></li>\n<li><span style=\"color: rgb(26, 26, 26); font-family: Inter, sans-serif; font-size: 12pt\">Experience with cloud-based research analysis platforms or federated data access workflows</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Why This Role Is Exciting</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Impact at scale</span>: Your work will directly influence tools used by national and international genomics networks.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Build something new</span>: Shape a core function of the company from a small, senior team into a scalable, sustainable group.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Cross-disciplinary collaboration</span>: Work side by side with engineers, product managers, and scientists to turn bioinformatics into real-world solutions.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Mission-driven</span>: Contribute to solving rare disease, cancer, and infectious disease challenges by enabling precision medicine.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><span style=\"font-weight: bold\">Team culture: </span>Enjoy a flexible, remote-friendly team culture along with a competitive salary, benefits, and employee stock option program. </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Where You'll Work</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Eligibility</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">To be considered for this position, you must be eligible to work in Canada.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Benefits</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Remote friendly, with flexible hours and the opportunity to work on-site at our Toronto office</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Comprehensive health benefits: medical, dental and vision coverage for you and your dependents</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Three weeks vacation</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Unlimited sick days</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Maternity and parental leave top-up programs</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">One-time remote office set-up stipend</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Career development and learning support</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Opportunity to participate in DNAstack's Employee Stock Option Program</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Opportunity to contribute to open science and global data-sharing efforts</span></li>\n</ul>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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. <br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.<br><br>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 [email protected]<br>and we will work with you to meet your needs.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">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.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"><br>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 [email protected].</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Note: this posting is for an existing vacancy that we are seeking to fill.<br><br></span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-style: italic\">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. </span></p>",
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