DNAstack dezvoltă Omics AI, o platformă SaaS conformă cu standardele, pentru descoperirea, partajarea și analiza datelor genomice și de sănătate în rețele de cercetare distribuite. Abordarea sa federată le permite administratorilor de date să pună seturi sensibile de date la dispoziția analizelor bazate pe inteligență artificială fără a le transfera într-un depozit centralizat, susținând în același timp confidențialitatea, securitatea și standardele GA4GH. Platforma este utilizată în colaborări din domeniul supravegherii pandemiilor, neuroștiinței, bolilor rare și oncologiei. DNAstack este o companie de software fondată în 2014, cu o echipă de 11–50 de angajați.
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.
Descriere
- 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.
Cerințe
- 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.
Beneficii
- 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.