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Hourly Computer Science Bioinformatics Jobs in Oregon

Natera

OR · On-site

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.

PacBio

OR

$93K - $140K/yr

Scientist II, Field Applications Bioinformatics Support PacBio (NASDAQ ... PACB) is a premier life science technology company that designs, develops, and manufactures ...

Natera

OR · Hybrid

D. in Bioinformatics, Computational Biology, Computer Science, Mathematics, Engineering, Biostatistics, or a related field. (An M.S. with equivalent experience considered). * 7+ years in ...

New

Natera

OR

$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 ...

New

Natera

OR

$102K - $134K/yr

Degree in Bioinformatics, Computer Science, Computational Biology, or a related field. A degree is not a requirement: equivalent depth built through work counts fully. * 4+ years of software or ...

New

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 ...

LSU AgCenter

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

Louisiana Workforce Commission

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

Louisiana State University

A Ph.D. in plant pathology, plant biology, data science, computational biology, bioinformatics, computer science, statistics, breeding, or related field accompanied by appropriate postdoctoral ...

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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Hourly Computer Science Bioinformatics information

What types of projects might I work on as an hourly Computer Science Bioinformatics professional?

As an hourly Computer Science Bioinformatics professional, you can expect to be involved in projects such as analyzing large-scale biological datasets, developing bioinformatics tools or pipelines, and supporting research teams with data processing tasks. Your work may include tasks like writing scripts to automate data analysis, maintaining databases of genetic information, or collaborating with biologists to interpret results. The variety and scope of projects will often depend on the organization's focus—whether it's genomics, proteomics, or clinical research—and you may find yourself working both independently and as part of multidisciplinary teams.

What are the key skills and qualifications needed to thrive as an hourly Computer Science Bioinformatics professional?

To thrive as an Hourly Computer Science Bioinformatics professional, you need a strong background in computer science, programming (such as Python or R), and a solid understanding of biological data analysis, often supported by a degree in bioinformatics, computer science, or related fields. Familiarity with bioinformatics tools (e.g., BLAST, Bioconductor), databases, and version control systems like Git is typically required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret complex data and collaborate with interdisciplinary teams. These skills and qualities are crucial for generating accurate insights from biological datasets and driving successful research outcomes.

What is an hourly Computer Science Bioinformatics?

An Hourly Computer Science Bioinformatics job involves applying computer science techniques to solve biological data problems, such as analyzing DNA sequences or managing large biological datasets. These roles are typically temporary or contract-based, where individuals are paid by the hour rather than salaried. Bioinformaticians in these positions may work on tasks like developing algorithms, writing code for data analysis, or supporting research projects. The flexibility of hourly work allows companies to hire experts for specific projects or periods of need.

What are the most commonly searched types of Computer Science Bioinformatics jobs in Oregon?

The most popular types of Computer Science Bioinformatics jobs in Oregon are:

What are popular job titles related to Hourly Computer Science Bioinformatics jobs in Oregon?

For Hourly Computer Science Bioinformatics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Hourly Computer Science Bioinformatics jobs in Oregon look for?

The top searched job categories for Hourly Computer Science Bioinformatics jobs in Oregon are:

What cities in Oregon are hiring for Hourly Computer Science Bioinformatics jobs?

Cities in Oregon with the most Hourly Computer Science Bioinformatics job openings:

Hourly Computer Science Bioinformatics jobs near you
Infographic showing various Hourly Computer Science Bioinformatics job openings in Oregon as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 2% Contract, and 1% Nights. Highlights an 78% Physical, 1% Hybrid, and 21% Remote job distribution.

Senior Bioinformatics Scientist

Natera

OR • On-site

Full-time

Posted 13 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

59th 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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