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Bioinformatics Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

PhD in Computer Science, Computational Biology, Biomedical Engineering, Bioinformatics, Statistics, or a related quantitative discipline with a focus on machine learning or AI * Core experience ...

Senior Machine Learning Scientist, Agentic AI

OR · On-site +1

$91K - $124K/yr

PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field * 8 or more years of experience in AI research or engineering, with a proven track record of ...

OR · On-site

$91K - $124K/yr

... bioinformatics, data science, or related discipline Preferred Qualifications: * Experience ... Strong programming expertise in Python and R, with experience developing reproducible computational ...

OR · On-site

$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 ...

OR · On-site

Partner with bench scientists, bioinformatics, and product development teams to integrate statistical expertise into project planning and execution. Identify risks, communicate concerns, and champion ...

OR · On-site

Collaborate with laboratory operations, bioinformatics, and software teams to investigate root ... Partner with engineering and data science teams to evaluate software-related complaints and ...

OR · On-site

Ensure GxP compliance in data science programming for clinical trials. * Manage budgets, vendor ... D.in Bioinformatics or related computational sciences. * Deep expertise in statistical methods and ...

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.

OR · On-site

$126K - $166K/yr

... of bioinformatics software that allows detection down to a single molecule in a tube of blood ... You will work closely with business development, regulatory, engineering, design, and operations to ...

OR · On-site

... and bioinformatics, in coordination with the Parsons Project Manager and logistics personnel to ... engineers, scientists, and subcontractors. * Strong interpersonal skills to work with field ...

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics ... Candidates with a strong proficiency in computer programming and big data management are preferred.

OR · On-site

$112K - $196K/yr

... biosecurity, and bioinformatics. * Supports planning training events and developing event ... engineers, scientists, and subcontractors. * Strong interpersonal skills to work with field ...

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Showing results 1-20

Bioinformatics Engineer information

See Oregon salary details

$45.5K

$138.6K

$252.2K

How much do bioinformatics engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for bioinformatics 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 Engineer?

A Bioinformatics Engineer is a professional who combines expertise in computer science, statistics, and biology to develop software tools and algorithms for analyzing biological data. They often work with large datasets such as genomic sequences, protein structures, and clinical information to help scientists make sense of complex biological systems. Their work is essential in fields like genomics, personalized medicine, and drug discovery, where managing and interpreting vast amounts of data is crucial. Bioinformatics Engineers may also collaborate with researchers to design experiments and interpret results, bridging the gap between biology and technology.

What are the key skills and qualifications needed to thrive as a Bioinformatics Engineer, and why are they important?

To thrive as a Bioinformatics Engineer, you need a strong background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Experience with programming languages such as Python or R, familiarity with databases, and knowledge of tools like BLAST, Bioconductor, or next-generation sequencing (NGS) analysis platforms are typically required. Strong problem-solving, analytical thinking, and effective communication skills help you collaborate with interdisciplinary teams and convey complex findings. These skills and qualifications are essential for efficiently analyzing biological data, developing robust computational tools, and advancing research in genomics and life sciences.

What Is Bioinformatics Engineering?

A bioinformatics engineer uses various methods for the analysis of complex biological data such as gene sequence and protein absorption. In this career, your job duties include performing detailed data analysis, developing data queries, and presenting your results back to the research team. The qualifications needed for a career as a bioinformatics engineer include a bachelor’s degree in engineering, statistics, computer science, or mathematics. Some employers prefer a master’s degree as well. You also need strong analytical skills and a good understanding of the biosciences.

What are some common challenges faced by Bioinformatics Engineers when integrating new data sources into existing pipelines?

Bioinformatics Engineers often encounter challenges such as data format inconsistencies, varying quality of datasets, and the need to ensure compatibility with existing analysis pipelines. Integrating new data sources may require custom scripts or tools for parsing and preprocessing, as well as thorough validation to maintain reproducibility and reliability of results. Collaboration with wet-lab scientists and software engineers is essential to clarify data requirements and streamline the integration process.

What is the difference between Bioinformatics Engineer vs Bioinformatics Analyst?

AspectBioinformatics EngineerBioinformatics Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; programming skillsBachelor's or Master's in Bioinformatics, Biology, or related fields; data analysis skills
Work EnvironmentResearch labs, biotech companies, pharmaceutical firmsResearch institutions, healthcare organizations, biotech companies
Employer & Industry UsageDevelops tools, pipelines, and software for biological data analysisInterprets data, performs statistical analysis, and reports findings

While both roles require a background in bioinformatics and involve working with biological data, Bioinformatics Engineers focus on developing software and tools, whereas Bioinformatics Analysts primarily analyze and interpret data to support research and decision-making.

What are the most commonly searched types of Bioinformatics Engineer jobs in Oregon? The most popular types of Bioinformatics Engineer jobs in Oregon are:
What are popular job titles related to Bioinformatics Engineer jobs in Oregon? For Bioinformatics Engineer jobs in Oregon, the most frequently searched job titles are:
What cities in Oregon are hiring for Bioinformatics Engineer jobs? Cities in Oregon with the most Bioinformatics Engineer job openings:
Infographic showing various Bioinformatics Engineer job openings in Oregon as of June 2026, with employment types broken down into 86% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% In-person, 3% Hybrid, and 11% Remote job distribution, with an average salary of $138,560 per year, or $66.6 per hour.
Senior Developer Relations Manager - Agriscience

Senior Developer Relations Manager - Agriscience

Nvidia

OR • On-site, Remote

Full-time

Posted 5 days ago


Job description

We are seeking a highly technical and strategic Senior Developer Relations Manager to join our team, with a focus on engaging developer ecosystems across emerging technology domains. In this pivotal role, you will work directly with software solution providers, developers, global system integrators and industry leaders to champion the adoption of NVIDIA's advanced AI and accelerated computing platforms. The ideal candidate brings a blend of deep technical expertise and commercial go-to-market experience, combined with a passion for developer advocacy and a talent for communicating how NVIDIA technology can solve complex, real-world business and technical challenges.

What You'll Be Doing:

  • Serve as the trusted technical advisor, problem solver, and champion for the developer ecosystem in agriscience, e.g., seeds and traits, crop protection, plant nutrition, digital agronomy, with cross-functional partners to drive adoption of NVIDIA technologies.

  • Accelerate critical workloads by demonstrating groundbreaking solutions that integrate the core NVIDIA stack into developer products, platforms, and pipelines.

  • Advise on technical enablement resources-such as sample code, guides, demonstration pipelines, and tools to highlight the application of technologies in solving real-world agriscience innovation problems.

  • Guide partners and startups through onboarding and integration with NVIDIA's programs, fostering co-innovation and the development of next-generation solutions.

  • Map, track, and monitor the developer ecosystem to identify growth opportunities, inform technology roadmaps, and shape adoption strategies.

  • Collaborate multi-functionally with solution architects, engineering, product management, and marketing to drive developer engagement and optimize partner adoption strategies.

  • Engage with partner engineering teams, technical leaders, and decision-makers to identify goals, solve technical challenges, and promote standard processes for successful integrations.

  • Represent and advocate for the partner technical needs and feedback to NVIDIA's internal product and engineering teams, supplying actionable insights from field deployments to influence product roadmaps.

What We Need to See:

  • Master's or Doctor's degree in Bioinformatics, Biochemistry, Computational Biology, Computational Chemistry, Plant Science, Data Science, or a related field (or equivalent experience).

  • A minimum of 8-10+ years of overall professional experience in the agriscience industry in software engineering, developer relations, technical partnerships, including 5+ years of direct hands-on experience with genomic variant analysis, trait discovery, agrochemical molecule virtual screening, domain-specific LLM, etc.

  • Proven experience leading, partnering, and scaling developer programs at major technology companies, agriscience Independent Software Vendors (ISVs), or within relevant verticals.

  • Significant technical proficiency in high-performance and accelerated computing, cloud, AI/ML, and/or agriscience-specific frameworks and libraries.

  • Excellent interpersonal skills with the ability to distill complex technical concepts for diverse technical and non-technical audiences from engineers to executives.

  • Experience leading technical collaborations with engineering and product teams- including architectural design, code reviews, technical mentorship, and delivery of technical talks or workshops

  • Proven ability to structure and implement complex technical engagements, negotiate requirements, prioritize issues, and collaborate with internal or external stakeholders (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd:

  • Hands-on experience building or optimizing industry vertical-specific solutions (e.g., seeds and traits, crop protection, plant nutrition, digital agronomy, etc.).

  • Familiarity with advanced computing, AI, and/or GPU acceleration platforms (e.g., BioNeMo, Parabricks, NeMo, RAPIDS, CUDA, etc.).

  • Track record in designing and implementing systems for real-time processing and low-latency decision-making.

  • Successful history of building and scaling developer communities and delivering impactful technical enablement programs.

With competitive salaries and a generous benefits package, we are widely considered to be one of the world's most desirable employers! We have some of the most forward-thinking and hardworking people in the world working for us and, due to outstanding growth, our best-in-class engineering teams are rapidly growing. If you're a creative and autonomous person with a real passion for technology, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 6, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993