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Nextflow Bioinformatics Jobs in Oregon (NOW HIRING)

In this role, you will build the bioinformatics capability within the Data Science development team ... Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker). * Advanced ...

Nextflow Bioinformatics information

What is a Nextflow bioinformatician?

A Nextflow Bioinformatician is a specialist who uses the Nextflow workflow management system to design, implement, and maintain computational pipelines for analyzing biological data. They typically work with large-scale sequencing datasets, automating processes such as data preprocessing, alignment, variant calling, and more. Their expertise lies in combining programming skills with bioinformatics knowledge to streamline and reproduce complex analyses, often in high-performance or cloud computing environments. This role is critical for ensuring reliable, scalable, and reproducible results in genomics and other life science research.

What skills and qualifications are needed to thrive as a Nextflow bioinformatics specialist?

To thrive as a Nextflow Bioinformatics specialist, you need a strong background in bioinformatics, scripting languages (such as Python or Bash), and experience with workflow management systems, often supported by a relevant degree in bioinformatics, biology, or computer science. Proficiency with Nextflow, containerization platforms (like Docker or Singularity), and high-performance computing environments is typically required. Problem-solving ability, strong attention to detail, and effective collaboration are critical soft skills in this role. These competencies are essential for developing reproducible, scalable analysis pipelines that drive accurate biological insights in research or clinical settings.

What are common challenges when developing and maintaining Nextflow pipelines in a bioinformatics team?

One common challenge in developing and maintaining Nextflow pipelines is ensuring reproducibility and compatibility across different computing environments, such as local clusters and cloud platforms. Collaborating with team members often involves integrating diverse tools and datasets, which can introduce version conflicts or software dependency issues. Additionally, keeping pipelines up-to-date with rapidly evolving bioinformatics methods requires strong communication and regular code reviews within the team. Effective documentation and modular pipeline design can help address these challenges and streamline collaborative workflows.

What is the difference between Nextflow Bioinformatics vs Bioinformatics Analyst?

AspectNextflow BioinformaticsBioinformatics Analyst
CredentialsTypically requires a degree in bioinformatics, computer science, or related fields; familiarity with scripting and workflow management toolsUsually holds a degree in bioinformatics, biology, or related disciplines; strong analytical and programming skills
Work EnvironmentResearch labs, biotech companies, or academic institutions; focuses on developing and executing computational workflowsData analysis in research or clinical settings; interprets biological data and reports findings
Industry UsageUsed in genomics, transcriptomics, and large-scale data processing projectsApplied in research, healthcare, and diagnostics to analyze biological datasets

While both roles require bioinformatics knowledge, Nextflow Bioinformatics specializes in managing and automating computational workflows using tools like Nextflow, whereas Bioinformatics Analysts focus on analyzing biological data and interpreting results. The roles often overlap but differ in technical focus and responsibilities.

What cities in Oregon are hiring for Nextflow Bioinformatics jobs?

Cities in Oregon with the most Nextflow Bioinformatics job openings:

Infographic showing various Nextflow Bioinformatics job openings in Oregon as of August 2026, with employment types broken down into 56% Full Time, 42% Part Time, and 2% Contract. Highlights an 52% Physical, 2% Hybrid, and 46% Remote job distribution.

Director of Data Science and Bioinformatics

Natera

OR • On-site, Remote

Full-time

Posted 15 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

56th of 120 rated laboratories


Job description

This is an exciting opportunity to lead and grow the Data Science and Bioinformatics function supporting Natera's Women's Health and Organ Health product portfolios. In this role, you will build the bioinformatics capability within the Data Science development team, establish scalable AWS cloud infrastructure, and ensure the quality and reproducibility of the genomic algorithms powering our clinical products.

PRIMARY RESPONSIBILITIES:

Strategy and Vision

  • Build and define the Bioinformatics function within the Data Science development team, identify technical tooling gaps, and execute a roadmap to advance genomics-based algorithm development.
  • Establish and enforce pipeline and algorithm quality standards, including review processes, validation frameworks, and documentation practices

Infrastructure and Automation

  • Own and architect scalable AWS-based data science and bioinformatics infrastructure, ensuring quality, reproducibility, and reliable deployment of Next-Generation Sequencing (NGS) algorithms.
  • Implement MLOps tooling and automated validation frameworks to support reliable algorithm deployment into clinical production.

Cross-Functional Collaboration

  • Partner with Research, Product Development, Laboratory Operations, Engineering, and Quality teams to implement stable, scalable pipelines and support successful productization

Team Leadership

  • Lead, mentor and hire a high-performing team of bioinformaticians and data scientists, establishing technical quality standards and clear operational ownership.
  • Build technical depth within the team to support expanding product roadmaps across Women's Health and Organ Health.

QUALIFICATIONS:

  • Master of Science or Ph.D. in a quantitative technical discipline (Biostatistics, Bioinformatics, Computer Science, Physics, Applied Mathematics, or equivalent).
  • Minimum of 10 years of experience in Data Science or Bioinformatics, with at least 5 years of direct people management experience leading technical teams.
  • Hands-on experience architecting AWS cloud infrastructure for data-intensive bioinformatics workloads and NGS pipeline execution.
  • Demonstrated ability to identify capability gaps independently, build scalable infrastructure, and drive execution without waiting for formal structure.
  • Strong communicator who builds cross-functional alignment across Research, Engineering, and Quality teams through technical clarity, direct engagement, and data-driven reasoning.
  • Track record of developing bioinformatics talent and delivering computational pipelines that support commercial product development.

PREFERRED QUALIFICATIONS:

  • Experience developing software and pipelines within regulated environments (CLIA, FDA, or ISO framework).
  • Experience with MLOps frameworks and pipeline tools (MLflow, Nextflow, WDL, Docker).
  • Advanced knowledge of statistical inference, machine learning, and genomic data processing.

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