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PacBio

Long-read DNA sequencing systems for genomics research

Scientist 2, Bioinformatics - Applications Lab

Quantitative Biology & BiostatisticsConfirmed live in the last 24 hours
Full-timeMenlo Park, CA, USA$112k - $168k

About the Job

Requirements

  • A PhD and 0–2 years of related experience, which may include postdoctoral experience; alternatively, a Master's degree with 3–5 years of relevant experience or a B.S. with 5–7 years of related experience.
  • A degree in Bioinformatics, Biology, Computational Biology, Computer Science, Life Sciences, or a related field.
  • Proficiency in Python programming, including data processing.
  • Strong working knowledge of Linux, including command-line tools, shell scripting, and file system organization.
  • Experience with high-performance computing environments, including job schedulers, computational resource allocation, and pipeline execution.
  • Familiarity with scientific development practices, including testing, version control, code review, workflow management frameworks such as WDL or Nextflow, reproducible computational environments using containers, and code documentation.
  • Experience with next-generation sequencing data analysis and bioinformatics pipelines.
  • Strong analytical, troubleshooting, and organizational skills, including the ability to independently solve technical problems and manage multiple priorities.
  • Excellent written and verbal communication skills, including the ability to document workflows and explain complex technical concepts to diverse audiences.
  • Current authorization to work in the United States without the need for present or future sponsorship.

Responsibilities

  • Collaborate with laboratory scientists to support sequencing projects, ensuring reliable data processing, analysis execution, and timely delivery of results.
  • Analyze PacBio sequencing data for internal projects, customer evaluations, and proof-of-concept studies, and deliver accurate results, visualizations, and summaries to scientific and commercial stakeholders.
  • Maintain tools and infrastructure supporting laboratory operations, including sample and project tracking and data organization.
  • Develop, maintain, and troubleshoot bioinformatics pipelines and automated workflows using Python, Linux, and high-performance computing environments; reduce manual intervention and improve processing reliability.
  • Evaluate emerging bioinformatics methods and sequencing applications with academic and commercial collaborators.

Desired Qualifications

  • Experience working in a sequencing facility, genomics core laboratory, or commercial sequencing service provider.
  • Experience with laboratory operations, including sample tracking, metadata management, and project coordination.
  • Experience analyzing PacBio HiFi or other long-read sequencing data.
  • Experience with cloud-based data storage and analysis, particularly AWS.
  • Experience with SQL and relational databases for managing and querying scientific data.
  • Familiarity with AI agentic software development tools such as Claude Code or Codex.
  • Experience in a customer-facing role.
  • Experience communicating scientific results in conference presentations or peer-reviewed publications.

About the Company

PacBio

Long-read DNA sequencing systems for genomics research

PacBio designs long-read DNA sequencing systems that help researchers read complete genomes, transcriptomes, and epigenomes. Its Revio and Vega platforms use proprietary HiFi sequencing chemistry, combining the completeness of long reads with the accuracy of short reads, supported by library prep kits, reagents, and the SMRT Link software suite. Specialized tools such as Kinnex for full-length RNA sequencing and PureTarget for targeted enrichment extend the platform into human genomics, oncology, microbial, agricultural, and biopharma research. What sets PacBio apart is its focus on accuracy and completeness over raw throughput, giving scientists confidence in genomic regions that short-read technologies often miss. The goal is to enable the promise of genomics to advance human health.

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