DNAstack
DNAstack
DNAstack builds Omics AI, a standards-compliant SaaS platform for discovering, sharing, and analyzing genomic and health data across distributed research networks. Its federated approach lets data custodians make sensitive datasets available for AI-powered analysis without bringing them into a central repository, while supporting privacy, security, and GA4GH standards. The platform is used in collaborations spanning pandemic surveillance, neuroscience, rare disease, and oncology. DNAstack is a software company founded in 2014, with a team of 11–50 employees.

Bioinformatics Customer Success Specialist

Support customers using DNAstack’s precision medicine data-sharing platform, from genomic pipeline operations and quality checks to onboarding and technical troubleshooting.

Aprašymas

  • Act as the main technical contact for customer tickets, partner questions, and data delivery requests.
  • Investigate and resolve failed secondary and tertiary pipeline runs, annotation or sorting defects, and cloud access issues.
  • Trace missing variants, control sample discrepancies, and runtime delays to their root causes, then explain the findings to customers.
  • Turn recurring issues into knowledge-base content, runbooks, and FAQs.
  • Monitor production workflows and dataset deployments on Google Cloud Platform and AWS.
  • Set up and perform input and output quality checks, covering sample identity, coverage, and variant-level metrics.
  • Validate pipeline and platform releases with regression tests and reference resources such as GIAB.
  • Forecast and track workflow compute expenses across cloud providers.
  • Record incidents and follow engineering fixes through to resolution.
  • Update pipeline dependencies and revalidate the complete workflow.
  • Prepare customer onboarding by checking target capture files, metadata sheets, and sample identifiers.
  • Submit, monitor, and confirm sample runs and reanalyses across customer accounts.
  • Re-index, reload, and verify dataset nodes across deployment environments.
  • Produce tailored data extracts, such as BAM slices, collection-level VCFs, and targeted TSV files.
  • Prepare and quality-check structural variant, short tandem repeat, and methylation results for partner delivery.
  • Work with Business Development on demonstration datasets, proofs of concept, and compute cost estimates.
  • Share organized customer feedback with product and engineering teams to inform the roadmap.
  • Compare variant callers and pipeline settings through benchmarking.
  • Collaborate with the Staff Bioinformatician on exploratory features and take part in the internal bioinformatics journal club.

Reikalavimai

  • Master’s degree in computational biology, bioinformatics, biostatistics, computer science, or equivalent experience.
  • 1–3 years of professional experience in an industry biotech, diagnostics, or clinical bioinformatics role, preferably working with customers or partners.
  • Excellent written and spoken communication skills, including the ability to explain complex technical matters to non-computational audiences.
  • A systematic approach to troubleshooting and root-cause analysis.
  • Practical experience running and debugging NGS and omics data-processing pipelines.
  • Working familiarity with FASTQ, BAM/CRAM, VCF, and BED formats and analysis tools.
  • Proficiency in Python, R, or Java, plus strong shell scripting and command-line skills.
  • Careful attention to detail and accountability for data quality.
  • A biology or genetics background, with strong critical-thinking and research skills.
  • Authorization to work in Canada.
  • Preferred: experience with workflow languages such as WDL, CWL, Nextflow, or Snakemake, and containers such as Docker or Singularity.
  • Preferred: experience with GCP, AWS, Azure, or HPC environments, including monitoring and logging tools.
  • Preferred: automated testing or CI/CD experience for bioinformatics pipelines.
  • Preferred: experience in quality systems or regulated settings such as CAP/CLIA or ISO 13485.
  • Preferred: familiarity with ticketing or customer success platforms such as Jira Service Management, Zendesk, or Intercom.
  • Preferred: long-read sequencing experience, including structural variant, STR, and methylation analysis.
  • Preferred: statistical analysis and data visualization skills.
  • Preferred: wet-lab genomics experience.
  • Preferred: familiarity with modern AI tools such as Claude Code.

Privalumai

  • Flexible scheduling and remote-friendly work, with the option to work on-site at the Toronto office.
  • Medical, dental, and vision coverage for employees and their dependents.
  • Three weeks of vacation.
  • Unlimited sick leave.
  • Maternity and parental leave top-up programs.
  • A one-time stipend to set up a remote office.
  • Career development and learning support.
  • Eligibility to participate in the Employee Stock Option Program.
  • The chance to contribute to open science and global data-sharing initiatives.

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