Scientist II, Bioinformatics (Applications Lab)
About The Position
PacBio is seeking a Scientist II, Bioinformatics to join its Applications Lab, an internal customer and services laboratory supporting product development, customer evaluations, and commercial opportunities. The role supports production and proof-of-concept sequencing projects by developing and maintaining computational infrastructure, automating data-processing workflows, and delivering bioinformatics analyses for internal and customer projects. The successful candidate will analyze sequencing data and work with laboratory scientists, Product Management, Marketing, and Sales to deliver results that demonstrate PacBio technology to scientific and commercial stakeholders. They will also maintain the computational tools and infrastructure used in laboratory operations, including sample and project tracking, data organization, and automated analysis workflows. This is a hands-on position requiring strong programming skills, scientific expertise, and the ability to troubleshoot complex technical problems independently. Non-field-based employees are required to work onsite Monday through Thursday and from home on Fridays. Depending on the role, some employees may be required to work onsite 100% of the time. Occasional travel to PacBio locations may be required.
Requirements
- PhD in Bioinformatics, Computational Biology, Computer Science, Life Sciences, or a related field, with 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 bachelor's degree with 5–7 years of related experience.
- 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 such as 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 present or future sponsorship.
Nice To Haves
- 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 through conference presentations or peer-reviewed publications.
Responsibilities
- Collaborate with laboratory scientists to support sequencing projects, ensure reliable data processing and analysis execution, and deliver results on time.
- Analyze PacBio sequencing data for internal projects, customer evaluations, and proof-of-concept studies; deliver accurate results, visualizations, and summaries to scientific and commercial stakeholders.
- Maintain tools and computational 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 the reliability of data processing.
- Evaluate emerging bioinformatics methods and sequencing applications with academic and commercial collaborators.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
