Bioinformatics Customer Success Specialist (Genomics): Supporting customers by troubleshooting NGS pipelines, validating genomic results, and preparing custom data deliverables across AWS and GCP with an accent on pipeline reliability, quality control, and customer-facing technical communication. Focus on diagnosing failed runs, building regression tests, maintaining workflow dependencies, and translating customer feedback into product and engineering improvements.
Location: Remote in Canada, with the option to work in person from the Toronto office. Must be eligible to work in Canada.
Salary: CAD 70,000–95,000 per year.
Company
hirify.global builds software and industry standards for responsible biomedical data sharing, discovery, and analysis in precision medicine, genomics, and cloud-based research.
What you will do
Serve as the technical point of contact for customer support tickets, partner inquiries, and data delivery requests.
Monitor AWS and GCP production workflows, run quality-control checks, validate releases, and track incidents through resolution.
Maintain pipeline dependencies and create regression tests, reference-based validations, runbooks, knowledge-base articles, and onboarding guides.
Onboard customers by validating capture files, metadata, sample identifiers, and routine sample processing workflows.
Generate custom genomic deliverables and provide feedback, benchmarks, and cost estimates to product, engineering, and business development.
Requirements
Master’s degree in computational biology, bioinformatics, biostatistics, computer science, or equivalent experience.
1–3 years of professional experience in industry biotech, diagnostic, or clinical bioinformatics, ideally in a customer-facing role.
Hands-on experience running and debugging NGS or other omics data-processing pipelines.
Knowledge of FASTQ, BAM/CRAM, VCF, and BED files, genomics analysis tools, and command-line workflows.
Proficiency in Python, R, or Java, with strong shell scripting, troubleshooting, root-cause analysis, and communication skills.
Eligibility to work in Canada is required.
Nice to have
Experience with WDL, CWL, Nextflow, Snakemake, Docker, Singularity, or HPC environments.
Experience with AWS, GCP, Azure, monitoring, logging, automated testing, or CI/CD for bioinformatics pipelines.
Knowledge of CAP/CLIA, ISO 13485, validation documentation, or other regulated environments.
Experience with long-read sequencing, structural variants, tandem repeats, methylation, statistical analysis, or data visualization.
Experience with customer success tools, wet-lab genomics, or modern AI tools.
Culture & Benefits
Remote-friendly work with flexible hours and the option to work from the Toronto office.
Medical, dental, and vision coverage for employees and dependents.
Three weeks of vacation, unlimited sick days, and maternity and parental leave top-ups.
Remote office setup stipend, career development support, and learning opportunities.
Employee Stock Option Program and the opportunity to contribute to open science and global data-sharing initiatives.
Hiring process
Offers are conditional on a successful background check, which may include employment, reference, education, and criminal-record verification as permitted by law.
AI-powered tools may assist with application organization, while applications are reviewed by a human team member.
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