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Senior Bioinformatics Engineer

Sequencing

North AmericaJobNo compensation foundPosted 3w agoVerified open 3 days ago

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At a glance

Compensation
No compensation found
Location
North America
Work Authorization
Not specified

Job overview

Sequencing is hiring a Senior Bioinformatics Engineer. Sequencing.com is hiring a Senior Bioinformatics Engineer to develop cutting‑edge genomic analysis tools and infrastructure, building data analysis and interpretation that helps users uncover health, wellness, and ancestry insights from DNA. The role requires expertise in cloud technologies, large‑scale genomic data processing, and software development.

Key focus areas include Design, build, and maintain scalable pipelines for processing and analyzing clinical‑grade 30x whole genome data., Support a wide range of genomic data types at consumer scale., and Optimize performance, reliability, and cost of data processing pipelines across AWS and hybrid environments..

Important skills include Bioinformatics, Software Development, Cloud Technologies, Data Analysis, Data Pipeline, and Containerization.

Skills & qualifications

RequiredNice to have

Skills

BioinformaticsSoftware DevelopmentCloud TechnologiesData AnalysisData PipelineContainerizationKubernetesProblem SolvingLarge Scale Genomic Data ProcessingPythonC#SQLAWSAWS LambdaAWS GlueBatchAmazon S3Amazon RDSVCFBAMFASTQGenomic DatabasesGenomic StandardsGenomic Annotation ResourcesClean Maintainable CodeBioinformatics Pipelines DesignData Processing Systems ImplementationScalable Reliable Systems BuildingManaged ServicesDockerAttention to DetailWritten EnglishVerbal EnglishClear Communication

Qualifications

5+ Years Bioinformatics Experience5+ Years Computational Biology Experience5+ Years Computer Science Experience5+ Years Related Field ExperienceFluent in English

Full job description

The Position

Sequencing.com is hiring a Senior Bioinformatics Engineer to develop cutting edge genomic analysis tools and infrastructure for the Bioinformatics team. You build the data analysis and interpretation that helps users uncover meaningful insights about their health, wellness, and ancestry from their DNA. This role requires expertise in cloud technologies, large scale genomic data processing, and software development. Your work helps power the future of personal genomics.

The Impact

  • Design, build, and maintain scalable pipelines for processing and analyzing clinical grade 30x whole genome data.
  • Support a wide range of genomic data types at consumer scale.
  • Optimize performance, reliability, and cost of data processing pipelines across AWS and hybrid environments.
  • Keep throughput high and latency predictable for end users.
  • Develop production quality services and tools using Python, C#, SQL, and AWS, including Lambda, Glue, Batch, S3, and RDS.
  • Power Sequencing's DNA apps and reports with the services and tools you build.
  • Collaborate across product, science, engineering, and UX teams to translate scientific findings into clear, consumer friendly genetic insights that are easy to navigate.
  • Establish and adhere to best practices for software engineering, data versioning, testing, observability, and documentation across bioinformatics workflows.
  • Debug complex data and infrastructure issues with a systematic approach.
  • Operate and improve production systems where correctness and reliability are critical.
  • Leverage AI tools to increase productivity, code quality, and testing depth.
  • Deliver high quality, validated output.

Qualifications

  • 5+ years of experience in bioinformatics, computational biology, computer science, or a related field.
  • Strong hands on experience working with real world genomic datasets and file formats such as VCF, BAM, and FASTQ.
  • Solid understanding of genomic databases, standards, and annotation resources.
  • Proficient in Python, SQL, and C#, with a track record of writing clean, maintainable code.
  • Designed and implemented bioinformatics pipelines and data processing systems in production.
  • Built scalable, reliable systems on cloud platforms such as AWS, including the use of managed services.
  • Familiar with containerization and orchestration technologies such as Docker and Kubernetes.
  • Excellent problem solving skills and exceptional attention to detail.
  • Fluent in English, both written and verbal, with clear communication across technical and non technical stakeholders.

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