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Genomics Researcher Jobs in Oregon (NOW HIRING)

Natera

OR · On-site

As a core member of the Research and Development department, you will play a pivotal role in ... In this role, you will develop novel algorithms and pipelines while analyzing complex genomic ...

Legacy Health

Research Assistant 2

Portland, OR

$25.83 - $36.93/hr

Preferred experience: molecular work (western blots, IHC, genotyping), and behavioral work using established preclinical research models. Familiarization with confocal microscopy and image analysis ...

Legacy Health

Research Assistant 2

Portland, OR · On-site

$25.83 - $36.93/hr

Preferred experience: molecular work (western blots, IHC, genotyping), and behavioral work using established preclinical research models. Familiarization with confocal microscopy and image analysis ...

Legacy Health

Research Asst 2

Portland, OR · On-site

$25.83/hr

Preferred experience: molecular work (western blots, IHC, genotyping), and behavioral work using established preclinical research models. Familiarization with confocal microscopy and image analysis ...

Natera

OR

This role develops and deploys deep learning models across digital pathology, genomics ... Proven ability to take ownership of research projects and translate prototypes into robust ...

Oregon Health & Science University

Student Worker

Portland, OR · On-site

$14.75 - $16.75/hr

Department OverviewThe O'Roak lab is focused on using genomic approaches to unlock the genetic ... Under direct supervision, primarily performs basic research or lab activities similar to a Research ...

Natera

OR · On-site

This ownership role drives the architecture and validation of genomic, transcriptomic, and ... Working within a builder framework, you will align across AI Research, Bioinformatics, and Clinical ...

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Showing results 21-40

All JobsGenomics Researcher JobsGenomics Researcher Jobs in Oregon

Genomics Researcher information

See Oregon salary details

$31.7K

$119.6K

$173.9K

How much do genomics researcher jobs pay per year?

As of Aug 9, 2026, the average yearly pay for genomics researcher in Oregon is $119,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $162,800.00 per year, depending on experience, location, and employer.

What is a genomics researcher?

A Genomics Researcher is a scientist who studies the structure, function, evolution, and mapping of genomes, which are the complete sets of DNA within organisms. They conduct experiments and analyze genetic data to understand how genes influence health, disease, and biological processes. Genomics Researchers often work in academic, clinical, or private industry settings, contributing to advances in personalized medicine, biotechnology, and agriculture. Their work can lead to the development of new diagnostics, treatments, and preventive strategies for various genetic conditions.

What are some common challenges genomics researchers face when working on collaborative projects?

Genomics Researchers often collaborate with multidisciplinary teams, including bioinformaticians, clinicians, and statisticians. One common challenge is integrating and interpreting large, complex datasets from diverse sources, which requires strong communication and project management skills. Coordinating timelines, data sharing protocols, and aligning research goals can also be demanding. However, these collaborations offer valuable opportunities to learn from other experts and contribute to impactful discoveries.

What is the difference between Genomics Researcher vs Bioinformatics Analyst?

AspectGenomics ResearcherBioinformatics Analyst
Required CredentialsBachelor's or Master's in Genetics, Biology, or related field; PhD often preferredBachelor's or Master's in Bioinformatics, Computer Science, or related field; certifications beneficial
Work EnvironmentLaboratories, research institutions, universitiesComputing environments, research labs, biotech companies
Industry UsageAcademic research, biotech, healthcareData analysis, software development, research support

While both roles involve working with genetic data, Genomics Researchers focus on experimental design and laboratory work to understand genetic functions, whereas Bioinformatics Analysts primarily analyze genetic data using computational tools. Both roles are essential in genomics projects but differ in their core activities and skill sets.

What are the key skills and qualifications needed to thrive as a genomics researcher?

To thrive as a Genomics Researcher, you need a strong background in genetics, molecular biology, bioinformatics, and typically a graduate degree (MSc or PhD) in a related field. Proficiency with genomic sequencing platforms, data analysis software (such as Python, R, or specialized bioinformatics tools), and familiarity with laboratory information management systems (LIMS) are essential. Critical thinking, problem-solving, and effective collaboration skills help researchers design experiments, interpret data, and work in interdisciplinary teams. These competencies ensure rigorous scientific discovery, accurate data interpretation, and impactful research outcomes in the rapidly evolving field of genomics.
What are popular job titles related to Genomics Researcher jobs in Oregon? For Genomics Researcher jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Genomics Researcher jobs in Oregon look for? The top searched job categories for Genomics Researcher jobs in Oregon are:
What cities in Oregon are hiring for Genomics Researcher jobs? Cities in Oregon with the most Genomics Researcher job openings:
Genomics Researcher jobs near you

Senior Bioinformatics Scientist

Natera

OR • On-site

Full-time

Posted 8 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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