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Bioinformatics Scientist Jobs in Oregon (NOW HIRING)

Natera

OR

Natera is seeking a Senior Bioinformatics Scientist to join our Bioinformatics team dedicated to early cancer detection. As a core member of the Research and Development department, you will play a ...

Bruker

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

UNAVAILABLE

Qualifications Requires a PhD with extensive bioinformatic analysis background Strong fluency in Python (required); working knowledge of R, MATLAB, or comparable scientific computing environments is ...

Bruker

Scientist, Bioinformatics Job Locations US-Remote | US-MO-St. Louis Posted Date 2 months ago(5/26/2026 3:43 PM) Req. # 2026-19291 Job Location : Location US-Remote Additional Job Locations US-MO-St.

Natera

OR

Natera is seeking an innovative and driven bioinformatics scientist to lead and conduct cutting-edge real-world evidence (RWE) analyses and predictive analytics across oncology, organ health, and ...

New

micro1 AI

AI Training Specialist - Life Sciences

Bend, OR · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

micro1 AI

AI Training Specialist - Life Sciences

Salem, OR · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

Natera

OR · On-site

Natera is currently seeking a Bioinformatics Manager to join the Bioinformatics team focused on ... In this role, the individual will manage a team of Bioinformaticians and Data Scientists and ...

micro1 AI

Digital Chemistry Specialist - Remote

Eugene, OR · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

micro1 AI

Digital Chemistry Specialist - Remote

Salem, OR · Remote

$90 - $120/hr

Bioinformatics Scientist Role Type: Contractor Location: Remote micro1 is engaging Bioinformatics Scientists to contribute their specialized expertise to a customer's innovative project. In this role ...

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Bioinformatics Scientist information

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How much do bioinformatics scientist jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for bioinformatics scientist in Oregon is $57.93, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $66.06 per hour, depending on experience, location, and employer.

What is a bioinformatics scientist?

A Bioinformatics Scientist is a professional who uses computational tools and techniques to analyze and interpret biological data, such as DNA, RNA, and protein sequences. They combine expertise in biology, computer science, mathematics, and statistics to solve complex problems in genomics, drug discovery, and other life sciences fields. Bioinformatics Scientists often work with large datasets, develop algorithms, and create databases to help researchers understand biological processes and make scientific discoveries.

What do you do as a bioinformatics scientist?

A bioinformatics scientist analyzes biological data, such as genetic sequences and molecular structures, using computational tools and algorithms. They develop and apply software to interpret complex biological information, often working with large datasets and programming languages like Python or R in research or healthcare settings.

What is the difference between Bioinformatics Scientist vs Bioinformatics Analyst?

AspectBioinformatics ScientistBioinformatics Analyst
Required CredentialsTypically requires a Master's or Ph.D. in Bioinformatics, Computational Biology, or related fieldsUsually holds a Bachelor's or Master's degree in Bioinformatics, Biology, or related areas
Work EnvironmentResearch labs, biotech companies, academic institutions, often involved in developing new algorithms and toolsData analysis in clinical or research settings, interpreting existing data sets
Employer & Industry UsageUsed in biotech, pharma, academia for research and developmentCommon in healthcare, clinical research, and biotech for data interpretation

In summary, Bioinformatics Scientists typically hold advanced degrees and focus on developing new computational methods, while Bioinformatics Analysts often have a more applied role, interpreting data to support research or clinical decisions.

Is a bioinformatics scientist still a good career?

Bioinformatics scientists are in high demand due to the growth of genomics, personalized medicine, and data-driven biological research. The role typically requires strong skills in programming, data analysis, and biology, with opportunities in healthcare, research institutions, and biotech companies continuing to expand.

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

To thrive as a Bioinformatics Scientist, you need a strong background in biology, statistics, and computer science, typically supported by an advanced degree in bioinformatics or a related field. Proficiency with programming languages (such as Python, R, or Perl), bioinformatics databases, and data analysis platforms like BLAST or Galaxy is essential. Critical thinking, problem-solving, and clear communication are vital soft skills for interpreting complex data and collaborating with multidisciplinary teams. These skills and qualities are crucial for extracting meaningful insights from large biological datasets and advancing scientific research.

How do bioinformatics scientists typically collaborate with biologists and other researchers on multidisciplinary projects?

Bioinformatics Scientists often work closely with biologists, chemists, and data analysts to interpret complex biological data. Collaboration usually involves translating biological questions into computational problems, developing or applying algorithms, and communicating findings in a way that is accessible to non-technical team members. Effective teamwork requires strong communication skills and the ability to bridge the gap between experimental data and computational analysis, ensuring that research goals are aligned across disciplines.
What are the most commonly searched types of Bioinformatics Scientist jobs in Oregon? The most popular types of Bioinformatics Scientist jobs in Oregon are:
What are popular job titles related to Bioinformatics Scientist jobs in Oregon? For Bioinformatics Scientist jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Bioinformatics Scientist jobs in Oregon look for? The top searched job categories for Bioinformatics Scientist jobs in Oregon are:
What cities in Oregon are hiring for Bioinformatics Scientist jobs? Cities in Oregon with the most Bioinformatics Scientist job openings:
What are popular job titles related to Bioinformatics Scientist jobs in OR? For Bioinformatics Scientist jobs in OR, the most frequently searched job titles are:
Bioinformatics Scientist jobs near you
Infographic showing various Bioinformatics Scientist job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,494 per year, or $57.9 per hour.

Senior Bioinformatics Scientist

Natera

OR

Other

Posted 6 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 seeking a Senior Bioinformatics Scientist to join our Bioinformatics team dedicated to early cancer detection. As a core member of the Research and Development department, you will play a pivotal role in designing and implementing innovative computational solutions. The ideal candidate possesses a robust background in algorithm development, high-throughput biological data analysis, and scalable pipeline architecture. We are looking for a versatile professional capable of thriving as an individual contributor, a collaborative co-developer, and a key participant in large-scale, cross-departmental initiatives. In this role, you will develop novel algorithms and pipelines while analyzing complex genomic datasets to advance the frontiers of early-stage cancer diagnostics.
PRIMARY RESPONSIBILITIES:

  • Innovate, design, develop, and validate advanced algorithms and statistical models to extract actionable insights from large-scale genomic datasets for early cancer detection.
  • Co-architect, implement, and deploy automated analysis workflows for clinical diagnostics, ensuring robust performance for variant calling, fusion detection, and automated quality control.
  • Contribute to rigorous code reviews, maintain comprehensive technical documentation, and drive the continuous optimization of core computational infrastructure.
  • Analyze complex multi-omic data using high-performance internal pipelines, collaborating closely with wet-lab scientists and statisticians to meet critical research milestones.

QUALIFICATIONS:

  • PhD in Bioinformatics, Computer Science, Engineering, Statistics, Cancer Biology or similar field
  • 0-3 years of professional or postgraduate experience in bioinformatics or computational biology.

KNOWLEDGE, SKILLS AND ABILITIES:

  • Excellent communication skills with a demonstrated ability to present complex computational findings to diverse cross-functional stakeholders.
  • Deep expertise in high-throughput DNA sequencing (NGS) analysis, including sequence alignment, mapping, and clinical-grade variant calling.
  • A proven track record of developing state-of-the-art, high-impact bioinformatics methodologies.
  • Advanced knowledge of data structures, algorithm design, and computational complexity analysis.
  • High proficiency in Python and its scientific ecosystem (NumPy, Pandas, Scikit-learn) for data manipulation and automation.
  • Experience with workflow orchestration languages (WDL preferred) for building and versioning scalable bioinformatics pipelines.
  • Experience with cloud-based distributed computing environments, specifically AWS.
  • Familiarity with contemporary analytical techniques and biomarkers in cancer biology.
  • Working knowledge of public genomic databases such as TCGA, COSMIC, or OncoKB.
  • Proficiency in Linux environments, including command-line tools and shell scripting.

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