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Biology Computer Science Jobs in Oregon (NOW HIRING)

OR ยท On-site

D. degree in computational chemistry, computational biology, computer science, or a related field (or equivalent experience). * A minimum of 8-10 years of professional experience in the drug ...

OR ยท On-site

$56K - $94K/yr

... biology. What You Will Need: * Master's degree. * A minimum of FOUR (4) years of experience in computer science or related field. * Extensive experience with one or more programming languages.

OR ยท On-site

$56K - $94K/yr

... biology. What You Will Need: * Master's degree. * A minimum of FOUR (4) years of experience in computer science or related field. * Extensive experience with one or more programming languages.

Bachelor's degree or higher in bioinformatics, computational biology, computer science, or a related field. * 2 years of hands-on experience analyzing next generation sequencing data; familiarity ...

Senior Machine Learning Scientist, Agentic AI

OR ยท Remote

$91K - $124K/yr

... and biological reasoning frameworks in rigorous peer reviews QUALIFICATIONS: * PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field * 8 or more ...

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 ...

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Biology Computer Science information

See Oregon salary details

$25.9K

$51.2K

$83.5K

How much do biology computer science jobs pay per year?

As of Jun 9, 2026, the average yearly pay for biology computer science in Oregon is $51,163.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $55,000.00 per year, depending on experience, location, and employer.

What types of projects do professionals in Biology Computer Science typically work on?

Professionals in Biology Computer Science often work on projects involving the analysis of large biological datasets, such as genome sequencing, protein structure prediction, or population genetics studies. They may develop algorithms, create data visualization tools, or collaborate with laboratory researchers to interpret results. Day-to-day work often involves coding, statistical analysis, and frequent interdisciplinary meetings with biologists, bioinformaticians, and IT specialists. This collaborative environment offers opportunities to contribute to cutting-edge discoveries and continually expand technical skills, making the field both intellectually rewarding and dynamic.

What are the key skills and qualifications needed to thrive in the Biology Computer Science position, and why are they important?

To thrive in a Biology Computer Science role, you need a strong background in both biological sciences and computer science, often supported by a degree in bioinformatics, computational biology, or a related field. Familiarity with programming languages (such as Python or R), data analysis software, and biological databases is essential, and specialized certifications in bioinformatics can be advantageous. Analytical thinking, attention to detail, and effective communication skills help professionals translate complex biological data into actionable insights. These capabilities enable success by bridging the gap between computational analysis and biological research, driving innovation in life sciences.

What is a Biology Computer Science job?

A Biology Computer Science job integrates principles of biology and computational techniques to analyze biological data, develop bioinformatics tools, and solve complex biological problems. Professionals in this field may work in genomics, drug discovery, systems biology, or healthcare technology. They utilize programming, machine learning, and data analysis to interpret biological processes. Common roles include bioinformaticians, computational biologists, and biotech software developers. This interdisciplinary field is crucial for advancements in medicine, agriculture, and environmental science.

What are popular job titles related to Biology Computer Science jobs in Oregon? For Biology Computer Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Biology Computer Science jobs in Oregon look for? The top searched job categories for Biology Computer Science jobs in Oregon are:
Infographic showing various Biology Computer Science job openings in Oregon as of May 2026, with employment types broken down into 1% As Needed, 84% Full Time, and 15% Part Time. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $51,163 per year, or $24.6 per hour.
Senior Developer Relations Manager - Digital Biology Partnerships

Senior Developer Relations Manager - Digital Biology Partnerships

Nvidia

OR โ€ข On-site

Full-time

Posted yesterday


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, and industry professionals to foster the adoption of NVIDIA's advanced AI and 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 challenges.

What You'll Be Doing:

  • Serve as a trusted technical advisor and advocate for the developer ecosystem in computer-aided drug discovery, driving adoption of NVIDIA technologies with cross-functional partners.

  • Accelerate critical workloads by delivering innovative solutions that integrate the NVIDIA stack into developer products, platforms, and pipelines.

  • Collaborate with software partners to optimize applications, co-develop roadmaps, and provide enablement resources like sample code, guides, and demo pipelines.

  • Act as a strategic liaison in alliances, strengthening partnerships, setting goals, and guiding execution toward shared scientific and technical outcomes.

  • Support partner and startup onboarding into NVIDIA programs, encouraging co-innovation and next-generation solution development.

  • Track and analyze the developer ecosystem to uncover growth opportunities, advise roadmaps, and develop adoption strategies.

  • Work cross-functionally with engineering, product, solutions architecture, and marketing to boost developer engagement and partner success.

  • Engage technical stakeholders to solve challenges, promote best practices, and relay partner feedback to influence NVIDIA product and engineering roadmaps.

What We Need to See:

  • Master's or Ph.D. degree in computational chemistry, computational biology, computer science, or a related field (or equivalent experience).

  • A minimum of 8-10 years of professional experience in the drug discovery or technology sectors, spanning developer relations, technical partnerships, and alliance management. At least 5 years of direct, hands-on experience managing scientific alliances and collaborative programs in drug discovery-covering computer-aided drug discovery, informatics, agentic agents, and other digital research workflows

  • Proven experience leading, partnering, and scaling developer programs at major technology companies, life science data platform ISVs, or within relevant verticals.

  • Significant proficiency with drug discovery programs and platforms, high-performance computing, cloud, AI/ML, and/or vertical-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 experience structuring and implementing complex technical engagements, negotiating requirements, prioritizing issues, and collaborating with internal or external partners (across sales, legal, product or marketing teams as needed).

Ways to Stand Out from the Crowd:

  • Hands-on experience building or optimizing vertical-specific solutions (e.g., data pipelines).

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

  • Track record in crafting 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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until May 11, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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