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Bioinformatics Analyst

Dnastack · Remote · Active · $100,000–$150,000 / year · BambooHR

Job facts

FieldValue
CompanyDnastack
TitleBioinformatics Analyst
Normalized title-
Department / teamBioinformatics
LocationToronto, ON, Canada
Work modelRemote / Remote
Employment typeFull Time
Salary$100,000–$150,000 / year
Statusactive
ATS providerBambooHR
Posted / first seen2026-06-03 / 2026-06-02
Changed / last seen2026-06-04 / 2026-06-06

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Linked records

CompanyDnastack
Sourcec87800cc-6285-4d3e-8b73-5e268a7a35e1
ATS providerBambooHR

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 IDe159396bb188ae89d049f1bab7ddbb037eca9c60
Org IDd0214845-6907-4d20-9ab7-0626dd6528ad
Source IDc87800cc-6285-4d3e-8b73-5e268a7a35e1
Board IDc87800cc-6285-4d3e-8b73-5e268a7a35e1
Providerbamboohr
Provider Job Key33
TitleBioinformatics Analyst
Normalized Title
Statusactive
Activeyes
Location Text
DepartmentBioinformatics
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryCanada
RegionON
CityToronto
Salary Rawsalary range for this role is $100,000 to $150,000. At DNAstack, we are dedicated to providing pay transparency to all candidates
Salary Min100,000
Salary Max150,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://dnastack.bamboohr.com/careers/33
Apply URLhttps://dnastack.bamboohr.com/careers/33
First Seen At2026-06-02 10:51:04Z
Last Seen At2026-06-06 10:28:27Z
Last Checked At2026-06-06 10:28:27Z
Last Changed At2026-06-04 11:44:55Z
Inactive At
Source Posted At2026-06-03 00:00:00Z
Source Updated At
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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>",
    "compensation": null,
    "departmentId": "18666",
    "locationType": "1",
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    "jobOpeningName": "Bioinformatics Analyst",
    "departmentLabel": "Bioinformatics",
    "jobOpeningStatus": "Open",
    "minimumExperience": null,
    "jobOpeningShareUrl": "https://dnastack.bamboohr.com/careers/33",
    "employmentStatusLabel": "Full-Time"
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}
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GET https://api.bluedoor.sh/job-postings/v1/jobs/e159396bb188ae89d049f1bab7ddbb037eca9c60?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/d0214845-6907-4d20-9ab7-0626dd6528adJSON
GET https://api.bluedoor.sh/job-postings/v1/sources/c87800cc-6285-4d3e-8b73-5e268a7a35e1JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/e159396bb188ae89d049f1bab7ddbb037eca9c60/eventsJSON