Bioinformatics Customer Success Specialist

Vaga não está no LinkedIn

🕒 Outubro 13

🇨🇦 Canadá – Remoto

💵 $70.000 - $95.000 / ano

⏰ Tempo Integral

🟢 Júnior

🏆 Sucesso do Cliente

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DNAstack

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2014

🏥 Saúde

💼 Consultoria

📦 Logística

💰 Pre Seed Round - DNAstack em 2019-01

Healthcare • Consulting • Logistics

A <DNAstack> é uma empresa de software que oferece o Omics AI, uma plataforma SaaS compatível com padrões que permite a descoberta federada, o compartilhamento e a análise impulsionada por IA de dados ômicos e de saúde. Ela ajuda os custodiantes de dados a conectar, proteger e compartilhar conjuntos de dados genômicos e de saúde sensíveis em redes de pesquisa nacionais e internacionais distribuídas, enquanto mantém a conformidade com o GA4GH, privacidade e segurança. Os produtos da DNAstack potencializam colaborações em vigilância pandêmica, neurociência, doenças raras e oncologia, tornando os dados federados localizáveis, acessíveis e analisáveis sem centralizar dados sensíveis.

Descrição

• Serve as the primary technical point of contact for customer support tickets, partner inquiries, and data delivery requests • Triage, diagnose, and resolve failed secondary and tertiary pipeline runs, annotation and sorting bugs, and cloud permission issues • Lead root-cause investigations into missing variants, control sample mismatches, and runtime bottlenecks, and communicate findings to customers • Create knowledge-base articles, runbooks, and FAQs from recurring issues • Monitor production workflows and dataset deployments across GCP and AWS • Define and run quality-control checks for pipeline inputs and outputs, including sample identity, coverage, and variant-level QC metrics • Run regression and validation tests on pipeline and platform releases using reference materials such as GIAB • Estimate and track workflow compute costs across cloud platforms • Document incidents and track fixes through completion with engineering • Maintain and upgrade pipeline dependencies with full re-validation • Onboard customers by validating target capture files, metadata sheets, and sample identifiers • Submit, track, and verify sample runs and re-analyses across customer accounts • Re-index, reload, and verify dataset nodes across deployment environments • Generate customized data subsets, including BAM slices, collection-level VCFs, and targeted TSV extracts • Format and QC structural variant, short tandem repeat, and methylation outputs for partner handoffs • Partner with Business Development on demo datasets, proofs of concept, and compute cost estimates • Bring structured customer feedback to product and engineering to shape the roadmap • Benchmark variant callers and pipeline parameters • Partner with the Staff Bioinformatician on exploratory features and participate in the internal bioinformatics journal club

🎯 Requisitos

• Master's degree in computational biology, bioinformatics, biostatistics, computer science, or equivalent experience • 1–3 years of professional experience in an industry biotech, diagnostic, or clinical bioinformatics role, ideally customer- or partner-facing • Exceptional written and verbal communication; able to explain complex technical issues to non-computational stakeholders • Structured, methodical approach to troubleshooting and root-cause analysis • Hands-on experience running and debugging NGS and -omics data processing pipelines • Working knowledge of FASTQ, BAM/CRAM, VCF, and BED file types and analysis tools • Proficiency in Python, R, or Java, with solid shell scripting and command-line skills • Strong attention to detail and ownership of data quality • Background in biology or genetics with critical thinking and research skills • Eligibility to work in Canada • Preferred: workflow languages such as WDL, CWL, Nextflow, or Snakemake, and containers such as Docker or Singularity • Preferred: cloud computing with GCP, AWS, or Azure, or HPC environments, including monitoring and logging tools • Preferred: automated testing or CI/CD for bioinformatics pipelines • Preferred: quality systems or regulated environments such as CAP/CLIA or ISO 13485 • Preferred: ticketing or customer success tools such as Jira Service Management, Zendesk, or Intercom • Preferred: long-read sequencing, including SV, STR, and methylation analysis • Preferred: statistical skills and data visualization • Preferred: wet lab genomics experience • Preferred: modern AI tools such as Claude Code

🏖️ Benefícios

• Flexible hours and remote-friendly work, with opportunity to work on-site at the Toronto office • Comprehensive 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 • Employee Stock Option Program opportunity • Opportunity to contribute to open science and global data-sharing efforts

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