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Senior Computer Science Bioinformatics Jobs in Oregon

Natera

Director of Data Science and Bioinformatics

OR · On-site +1

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 ...

Intel

Senior AI / Data Science Engineer

Hillsboro, OR · On-site

$115K - $156K/yr

Bachelor's degree in Computer Science, Data Science, Electrical Engineering, Industrial Engineering, Statistics, Applied Mathematics, or in a STEM-related field. * 6+ years of industry experience in ...

SAP North America

Senior Data Scientist

Senior Data Scientist Location: Newtown Square, PA Work Model: Hybrid work model Purpose and ... Bachelor's degree or foreign equivalent in Computer Science, Data Science, Finance, Mathematics, or ...

New

LSU AgCenter

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

Louisiana Workforce Commission

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

Louisiana State University

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

Nike

Senior Data Scientist

Beaverton, OR · On-site

WHO WE ARE LOOKING FOR We are looking for an experienced Senior Data Scientist to join our Data ... Advanced quantitative degree (Statistics, Mathematics, Operations Research, Computer Science or ...

Instacart

Senior Software Engineer, Core Experience

OR · On-site +1

$122K - $161K/yr

Senior Software Engineer, Core Experience Job #SECE39 Overview Maplebear Inc. D/B/A Instacart in ... Developing highly scalable software using innovative computer science and software engineering ...

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Senior Computer Science Bioinformatics information

What does a senior computer science bioinformatics professional do?

A Senior Computer Science Bioinformatics professional applies advanced computational methods and software development techniques to analyze biological data, such as DNA, RNA, and protein sequences. They design and implement algorithms, manage large datasets, and collaborate with biologists to interpret results for research or clinical purposes. Their work often supports discoveries in genomics, drug development, and personalized medicine. In addition to technical expertise, they may lead teams, mentor junior staff, and oversee complex projects.

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

To thrive as a Senior Computer Science Bioinformatics professional, you need advanced knowledge in computational biology, programming (such as Python, R, or Java), and a strong background in molecular biology or genomics, often supported by a graduate degree (MSc or PhD). Proficiency with bioinformatics tools (like BLAST, GATK, or Bioconductor), high-performance computing environments, and version control systems (e.g., Git) is essential. Strong problem-solving abilities, analytical thinking, and effective collaboration skills set top performers apart in this field. These competencies are crucial for managing complex biological datasets, developing innovative algorithms, and driving impactful research in interdisciplinary teams.

How does a senior computer science bioinformatics professional typically collaborate with multidisciplinary teams?

Senior Computer Science Bioinformatics professionals often work closely with biologists, clinicians, statisticians, and software engineers to analyze complex biological datasets. They are responsible for translating biological questions into computational problems, developing algorithms or pipelines, and ensuring that results are accurate and actionable. Effective communication and collaboration are essential, as they must bridge the gap between technical and scientific teams, lead project discussions, and sometimes mentor junior team members. This collaborative environment fosters innovation and helps drive research projects or clinical applications forward.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Oregon?

The most popular types of Computer Science Bioinformatics jobs in Oregon are:

What cities in Oregon are hiring for Senior Computer Science Bioinformatics jobs?

Cities in Oregon with the most Senior Computer Science Bioinformatics job openings:

Senior Computer Science Bioinformatics jobs near you

Director of Data Science and Bioinformatics

Natera

OR • On-site, Remote

Full-time

Posted 21 days ago

Natera rating

7.8

Company rating: 7.8 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

55th of 121 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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