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Bioinformatics Job Jobs in Oregon (NOW HIRING)

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

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 ...

Natera

Staff Scientist, Bioinformatics/RWD

OR · On-site +1

Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and ...

micro1 AI

Bioinformatics Software Engineer

Bend, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Hillsboro, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Salem, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Beaverton, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Eugene, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Gresham, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

micro1 AI

Bioinformatics Software Engineer

Portland, OR · Remote

$80 - $110/hr

Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods. * Curate, annotate, and validate chemical and ...

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Bioinformatics Job information

What is a bioinformatics job?

Bioinformatics jobs involve the application of computer science, mathematics, and biology to analyze and interpret complex biological data, such as genetic sequences. Professionals in this field develop algorithms, create databases, and use statistical tools to solve problems in genomics, drug discovery, and other life sciences. These roles are typically found in research institutions, biotechnology companies, pharmaceutical firms, and academic settings. The field is growing rapidly due to advances in technology and the increasing importance of big data in biology.

What are the key skills and qualifications needed to thrive as a bioinformatics professional?

To thrive in a Bioinformatics job, you need a strong background in biology, statistics, and computer science, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages (such as Python, R, or Perl), bioinformatics databases, and tools like BLAST or Next-Generation Sequencing platforms is essential. Strong analytical thinking, attention to detail, and effective communication skills set outstanding professionals apart in this role. These skills are crucial for accurately interpreting complex data, collaborating with interdisciplinary teams, and advancing research outcomes.

What are some common challenges faced by professionals in bioinformatics roles, and how can they be addressed?

Bioinformatics professionals often encounter challenges such as managing large and complex datasets, keeping up with rapidly evolving technologies, and collaborating effectively with interdisciplinary teams. To address these challenges, it's important to develop strong data management and analytical skills, stay updated through continuous learning, and communicate clearly with both biologists and computer scientists. Leveraging version control tools, computational resources, and participating in collaborative projects can also help streamline workflows and enhance productivity.

What are popular job titles related to Bioinformatics Job jobs in Oregon?

For Bioinformatics Job jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Bioinformatics Job jobs in Oregon look for?

The top searched job categories for Bioinformatics Job jobs in Oregon are:

What cities in Oregon are hiring for Bioinformatics Job jobs?

Cities in Oregon with the most Bioinformatics Job job openings:

Bioinformatics Job jobs near you
Infographic showing various Bioinformatics Job job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 25% Part Time, and 5% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Director of Data Science and Bioinformatics

Natera

OR • On-site, Remote

Full-time

Posted 14 days ago

Natera rating

7.7

Company rating: 7.7 out of 10

Based on 38 frontline employees who took The Breakroom Quiz

57th 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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