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.
Kanada70.000 $ – 95.000 $ / leto
Na daljavoPolni delovni časJuniorZahtevani Jezik: angleščinaUspeh strankVodja uspeha strankOpis
- 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.
Zahteve
- 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.
Ugodnosti
- 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.