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Bioinformatics Engineering Jobs in Oregon (NOW HIRING)

Arcus Biosciences

Bioinformatics Engineer

Hayward, CA · On-site

$120K - $155K/yr

Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization. The engineer will join highly technical, interdisciplinary ...

Natera

OR

Natera is seeking a Senior Bioinformatics Scientist to lead the architecture, development, and ... Engineer novel genomic analysis tools and proactively identify optimization pathways to enhance ...

Natera

OR · On-site

$114K - $137K/yr

Partner with product, bioinformatics, analytics, AI, software engineering, and infrastructure teams to define requirements, priorities, data contracts, and delivery models, and translate them into ...

Natera

OR · On-site

$122K - $161K/yr

The ideal candidate combines strong data engineering skills with a computer science background and hands-on experience in bioinformatics, genomics, or computational biology, and the ability to work ...

Natera

OR · On-site

S. or equivalent in science, engineering or related field * At least 4 years of experience in ... Sequencing, Bioinformatics etc. * Demonstrated good judgment, excellent attention to detail ...

Natera

OR

PhD in Computer Science, Computational Biology, Bioinformatics, Biomedical Engineering, or a highly quantitative structural field * 5+ years of industry or post-doctoral experience applying deep ...

UNAVAILABLE

$101K - $156K/yr

Collaborate with research scientists, software developers, and customer-facing teams to resolve ... S. or PhD in Computational Biology, Bioinformatics, Biostatistics, or related field; or B.S. with ...

Bruker

$101K - $156K/yr

Collaborate with research scientists, software developers, and customer-facing teams to resolve ... S. or PhD in Computational Biology, Bioinformatics, Biostatistics, or related field; or B.S. with ...

Natera

OR

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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Bioinformatics Engineering information

What is the difference between Bioinformatics Engineering vs Bioinformatics Analyst?

AspectBioinformatics EngineeringBioinformatics 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, healthcare institutionsResearch institutions, healthcare, pharmaceutical companies
Employer & Industry UsageDevelops tools, pipelines, and software for data analysisInterprets data, generates reports, supports research projects

Bioinformatics Engineering focuses on developing software and pipelines for data processing, requiring programming expertise. In contrast, Bioinformatics Analysts primarily interpret data and generate insights, often with a stronger emphasis on biological knowledge. Both roles are vital in biotech and healthcare industries, but they differ in technical scope and daily tasks.

What is a bioinformatics engineer?

A bioinformatics engineer is a professional who develops and applies computational tools and techniques to analyze and interpret biological data, such as DNA sequences or protein structures. They combine expertise in computer science, biology, and mathematics to create software, manage databases, and solve complex biological problems. Bioinformatics engineers often work in research, pharmaceuticals, healthcare, and biotechnology industries to help advance scientific discoveries and medical innovations.

What engineers make $500,000?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can reach salaries of $500,000 or more, especially in high-demand industries or leadership roles. Achieving this level often requires a combination of technical expertise, industry experience, and sometimes managerial responsibilities.

How do bioinformatics engineers typically collaborate with biologists and data scientists in a research setting?

Bioinformatics engineers frequently work in cross-disciplinary teams, partnering closely with biologists to understand experimental goals and with data scientists to analyze complex datasets. Effective communication is key, as engineers must translate biological questions into computational workflows and interpret results in a way that is meaningful to non-technical team members. This collaborative approach not only accelerates research but also helps engineers gain a deeper understanding of biological processes, which can lead to more innovative solutions and professional growth.

How much does a bioinformatics engineer make?

The average salary for a bioinformatics engineer typically ranges from $70,000 to $120,000 annually, depending on experience, education, and location. Professionals with advanced skills in programming, data analysis, and familiarity with tools like Python, R, and Linux tend to earn higher salaries.

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 solid background in biology, computer science, and statistics, often supported by a degree in bioinformatics or a related field. Familiarity with programming languages like Python or R, experience with bioinformatics tools (e.g., BLAST, GATK), and proficiency with databases and cloud computing platforms are typically required. Strong problem-solving, analytical thinking, and collaboration skills set standout professionals apart in this interdisciplinary field. These competencies are crucial for effectively analyzing complex biological data and driving innovation in life sciences research.

What do bioinformatics engineers do?

Bioinformatics engineers develop and implement computational tools and algorithms to analyze biological data, such as genetic sequences and molecular structures. They often work with programming languages like Python or R, utilize databases, and collaborate with biologists to interpret data for research and medical applications.

What engineers make $300,000 a year?

Senior bioinformatics engineers with extensive experience, advanced skills in programming, data analysis, and familiarity with tools like Python, R, and cloud platforms can earn $300,000 or more annually, especially in high-demand biotech or pharmaceutical industries. Achieving this level often requires advanced degrees, certifications, and leadership responsibilities.
What are popular job titles related to Bioinformatics Engineering jobs in Oregon? For Bioinformatics Engineering jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Engineering jobs in Oregon look for? The top searched job categories for Bioinformatics Engineering jobs in Oregon are:
What cities in Oregon are hiring for Bioinformatics Engineering jobs? Cities in Oregon with the most Bioinformatics Engineering job openings:
Bioinformatics Engineering jobs near you
Bioinformatics Engineer

Bioinformatics Engineer

Arcus Biosciences

Hayward, CA • On-site

$120K - $155K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Arcus is seeking a Bioinformatics Engineer that will work in a highly embedded, collaborative model with colleagues across the organization.

The engineer will join highly technical, interdisciplinary teams and bring a creative, problem-solving mindset to challenging work. The successful applicant will help improve and harmonize bioinformatics processes, as well as take lead in augmenting a growing internal database of multimodal, high-dimensional datasets to enable critical bioinformatics functions. They will use their expertise to build infrastructure, develop pipelines and frameworks, optimize algorithms, and process harmonized high-dimensional molecular datasets.

The individual may also support cross-departmental infrastructure developments to enable effective inter-departmental information exchange and develop LLM systems (e.g., literature review agents, retrieval-augmented knowledge systems) to enable bioinformatics and drug development discoveries.

Responsibilities

  • Process and QC high-dimensional datasets to expand internal databases (e.g., RNA-seq, scRNA-seq, spatial transcriptomics, proteomics, etc.).
  • Maintain and improve internal pipelines for data processing, including RNA-seq and WES.
  • Develop standardized internal pipelines for processing of additional data types such as scRNA-seq and spatial transcriptomics.
  • Work closely with Bioinformatics Scientists on improving internal processes and databases to enable efficient data extraction and transformation for rapid bioinformatics analysis and visualization.
  • Collaborate with constituencies in IT and Scientific Computing to improve on-prem and cloud-based infrastructures to support bioinformatics functions.
  • Serve as the technical resource for optimizing pipelines, benchmarking algorithms, developing reproducible frameworks, and updating SOP documentation & internal knowledge base.

Qualifications

  • Master’s in Bioinformatics, Computational Biology, Data Science, Computer Science, or similar field, with 5+ years of experience.
  • Strong understanding of data structures and transformations to enable efficient modeling.
  • Proven coding expertise in Unix and SQL for systems and database query and development.
  • Proficiency in R and/or Python for bioinformatics pipelines and analysis.
  • Experience with a workflow language such as Snakemake or Nextflow.
  • Adept at building reproducible computing environments using tools such as Docker, Singularity/Apptainer, uv, or conda.
  • Ability to work with on-prem and cloud-based systems including HPC clusters (e.g., SLURM) and AWS.
  • Fluent with version control using Git/GitHub and collaborating with other bioinformatics scientists/engineers.
  • Comfortable working in a cross-functional environment and handling several concurrent fast paced projects.

Preferred Experience

  • Understanding of high-dimensional molecular data types, such as RNA-seq, scRNA-seq, etc.
  • Familiarity with best coding practices such as unit testing, CI/CD, reproducible code, and modular pipeline design.
  • Experience developing pipelines and general frameworks for data analysis.
  • Ability to write concise technical documentation.
  • Familiarity with LLM-based tools, including LLM-assisted and agentic programming.
This hybrid role will be based at our Hayward, CA location. The anticipated salary range for fully qualified candidates applying for this position is $120,000 - $155,000 USD annually. This salary range is an estimate of what we reasonably expect to pay for this posted position. The actual salary may vary based on various factors including, without limitation, individual education, experience, tenure, skills and abilities, internal equity and alignment with market data. In addition to a competitive market-based salary, Arcus offers the opportunity to participate in stock programs, a performance-based bonus, and a comprehensive benefits package. Additional information about our total rewards program can be found here: https://arcusbio.com/careers. 

Arcus Biosciences is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind. Arcus is committed to the principle of equal employment opportunity for all employees and does not discriminate based on race, religion, color, sex, gender identify, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other legally protected status. EOE/AA/Vets 
 
PHYSICAL REQUIREMENTS: • Frequently stand, walk, twist, bend, stoop, squat, grasp lightly, use fine manipulation, grasp forcefully, perform desk-based computer tasks, use telephone, write by hand, lift, carry, push and pull objects weighing over 40 pounds. • Occasionally sit, kneel, crawl, reach and work above shoulders, sort and file paperwork or parts. • Rarely climb, scrub, sweep, mop, chop and mix or operate hand and foot controls. • Must have correctible vision to perform duties of the job. • Ability to bend, squat, kneel, stand, reach above shoulder level, and move on hard surfaces for up to eight hours. • Ability to lift heavy objects, possibly weighing up to 50 pounds. • Position may require repetitive motion. WORKING CONDITIONS: • May require working near blood borne pathogens. • May require work in an environment where animals are used for teaching and research. • Position may at times require the employee to work with or be in areas where hazardous materials and/or infectious diseases are present. • Employee must perform tasks that require the use of personal protective equipment, such as safety glasses and shoes, protective clothing and gloves, and possibly a respirator. • May require extended or unusual work hours based on research requirements and business needs. *Consistent with its obligations under the law, the company will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. 
 
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