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Bioinformatics Software Engineer Jobs in Oregon (NOW HIRING)

... software engineering and commercial departments. The ideal candidate will have a strong background ... Supervise bioinformatics scientists and data scientists, managing their technical contributions ...

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$93K - $140K/yr

Scientist II, Field Applications Bioinformatics Support PacBio (NASDAQ: PACB) is a premier life ... engineers, and technical support * Provide customer feedback to product marketing and software ...

New

You will collaborate with scientists, pathologists, bioinformaticians, and software engineers to ... PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics ...

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$126K - $166K/yr

Partner closely with software engineering, bioinformatics, clinical domain experts, quality, regulatory, and other product teams * Translate business, clinical, and operational needs into clear ...

PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative ... Rigor in code architecture, reproducibility, and production-grade software engineering practices

OR

$126K - $166K/yr

... bioinformatics, statistics, and more. They will need to deeply understand the end-to-end workflow ... designers, engineers, clinical product managers, and operations to develop elegant software ...

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... developers, and bioinformaticians. They are establishing Illumina as the pre-eminent genomics ... Bioinformatics sales goals. * Act as the main point of contact of your team with key Software ...

Bioinformatics Software Engineer information

See Oregon salary details

$45.5K

$138.6K

$252.2K

How much do bioinformatics software engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for bioinformatics software engineer in Oregon is $138,560.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $166,000.00 per year, depending on experience, location, and employer.

What is a Bioinformatics Software Engineer job?

A Bioinformatics Software Engineer develops and maintains software tools, algorithms, and databases for analyzing biological data, such as genomic sequences and protein structures. They work at the intersection of computer science and biology, using programming languages like Python, Java, or R to process and interpret large-scale biological datasets. Their role is crucial in fields like genomics, drug discovery, and personalized medicine, where computational solutions help researchers derive meaningful insights from complex biological information.

What are the typical daily responsibilities of a Bioinformatics Software Engineer?

As a Bioinformatics Software Engineer, your day-to-day responsibilities typically include designing, developing, and maintaining software tools or pipelines for analyzing biological data such as DNA, RNA, or protein sequences. You may collaborate closely with researchers and scientists to understand biological problems and translate them into computational solutions, reviewing and optimizing code for efficiency and scalability. Troubleshooting data processing issues, integrating new algorithms, and contributing to documentation are also common tasks. Additionally, you might participate in cross-functional meetings and keep up with emerging technologies and trends in the field.

What are the key skills and qualifications needed to thrive in the Bioinformatics Software Engineer position, and why are they important?

To thrive as a Bioinformatics Software Engineer, you need a strong background in software development (especially with Python, R, or C++), algorithm design, and biological data analysis, usually supported by a degree in bioinformatics, computer science, or a related field. Familiarity with bioinformatics tools, databases (like NCBI or Ensembl), version control systems (such as Git), and experience with cloud computing or high-performance computing environments is highly valued. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively with biologists and data scientists set candidates apart. These competencies are crucial for efficiently developing reliable software solutions that support complex biological research and data-driven discoveries.

What are the most commonly searched types of Bioinformatics Software Engineer jobs in Oregon? The most popular types of Bioinformatics Software Engineer jobs in Oregon are:
What are popular job titles related to Bioinformatics Software Engineer jobs in Oregon? For Bioinformatics Software Engineer jobs in Oregon, the most frequently searched job titles are:
What are popular job titles related to Bioinformatics Software Engineer jobs in OR? For Bioinformatics Software Engineer jobs in OR, the most frequently searched job titles are:
Infographic showing various Bioinformatics Software Engineer job openings in Oregon as of July 2026, with employment types broken down into 14% Locum Tenens, 6% Internship, 3% As Needed, 56% Full Time, 10% Part Time, and 11% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $138,560 per year, or $66.6 per hour.

Bioinformatics Manager (Oncology Product Development)

Natera

OR

Other

Posted 9 days ago


Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

60th of 120 rated laboratories


Job description

Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on Oncology Product Development. In this role, the individual will manage a team of Bioinformaticians and Data Scientists and provide technical leadership in the design, development and validation of ctDNA-based diagnostic tests. This position requires extensive cross-functional collaboration with biostatistics, molecular biology, software engineering and commercial departments. The ideal candidate will have a strong background in bioinformatics and data science, optimally with experience in the analysis or modeling of DNA methylation data, and an established record of project and technical leadership.

PRIMARY RESPONSIBILITIES:

  • Lead the effort to develop, optimize, and improve tools and analysis pipelines for diagnostic tests, including the detection of cancer-associated variants or methylation patterns and the implementation of evidence-based quality control thresholds.
  • Provide technical leadership for product development projects by representing the team in cross-functional interactions and moving products through the full development process, from research through commercial launch.
  • Supervise bioinformatics scientists and data scientists, managing their technical contributions, prioritizing resources, and taking responsibility for their technical and professional development.
  • Provide input on experiment design, analysis and interpretation based on expert understanding of Natera's technology and relevant mathematical principles.
  • Work at a high level of independence and responsibilities in carrying out assignments.
  • Contribute to our intellectual property portfolio.
  • Set standards for rigorous data analysis and lead the production of high-quality documentation. 

QUALIFICATIONS:

  • Master's degree or Ph.D. in a quantitative discipline (bioinformatics, engineering, applied mathematics, statistics, or similar).
  • Minimum of 4-8 years of post-graduate experience in a data science and/or bioinformatics role and 1-3 years of experience as technical lead in diagnostics or a related field
  • Experience moving algorithm-based products through commercialization and launch in a medical or biological application such as diagnostic testing, medical imaging, or biotechnology

Desirable, but not required:

  • Prior experience analyzing or modeling DNA methylation data.

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Experience using Python or R for scientific data analysis and visualization.
  • Strong foundation in statistical modeling/machine learning, including probability theory and estimation/classification methods.
  • Experience with analysis of next-generation sequencing data, preferably including algorithm development or optimization.
  • Proven ability to apply mathematical principles to solve real estimation problems and implement practical solutions.
  • Excellent analytical, problem-solving and decision-making skills to independently make sound judgments and find creative solutions to moderately complex problems.
  • Experience leading technical projects, including defining and meeting project milestones, delegating tasks to more junior team members, and ensuring the quality of technical deliverables.
  • Excellent communication skills and the desire to work in a dynamic and collaborative environment.

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