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Hourly Computer Science Bioinformatics Jobs in Oregon

Natera

Staff Machine Learning Scientist, Agentic AI

OR · On-site +1

PhD or Master's degree in Computer Science, Bioinformatics, Statistics, or a related quantitative field * 8 or more years of experience in AI research or engineering, with a proven track record of ...

Stride, Inc.

OR · On-site

$20 - $25/hr

THIS IS A PART-TIME POSITION THAT WILL LIKELY PAY $20-$25/HOUR This is a part-time hourly position ... Appropriate state Department of Education CTE Computer Science/Business Teaching Certification ...

Natera

OR · On-site

$114K - $137K/yr

Bachelor's, Master's or PhD degree in Computer Science, Engineering, Bioinformatics, or a related technical field; advanced degree is a plus. * 8+ years of experience in software engineering or data ...

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 ...

Natera

OR

$126K - $166K/yr

Partner closely with software engineering, bioinformatics, clinical domain experts, quality ... Bachelor's degree in life sciences, engineering, computer science, statistics, or equivalent ...

Netflix

OR

$480K - $750K/yr

Master's or PhD in Machine Learning, Computer Science, or a closely related field. 6+ years of ... Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation ...

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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, and why are they important?

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 job?

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 4% Locum Tenens, 37% As Needed, 31% Full Time, 2% Part Time, and 26% Nights. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution.
Staff Machine Learning Scientist, Agentic AI

Staff Machine Learning Scientist, Agentic AI

Natera

OR • On-site, Remote

Other

Posted 19 days ago

Natera rating

7.6

Company rating: 7.6 out of 10

Based on 37 frontline employees who took The Breakroom Quiz

54th of 105 rated laboratories

Job description

POSITION SUMMARY:

Natera is seeking a Staff Machine Learning Scientist - Agentic AI to join our AI team, an advanced R&D and core AI innovation team bridging the gap between molecular discovery and clinical execution. Leveraging a proprietary data moat of over 250,000 oncology patients profiled with longitudinal ctDNA, WES/WGS, digital pathology, and EMR data, you will design and deploy production-grade autonomous AI agents and multi-modal foundation models. Your mission is to architect systems capable of multi-step biological reasoning, converting complex multi-omic datasets into verifiable clinical insights that accelerate biomarker and therapeutic discovery. You will lead the next evolution of our Agentic AI platform, designing autonomous systems capable of reasoning through the complexities of cancer biology, orchestrating proprietary foundation models, and simulating virtual patient trajectories.

PRIMARY RESPONSIBILITIES:

  • Lead the technical design and deployment of multi-agent systems capable of autonomous hypothesis generation and tool use, including genomic variant calling, LLM fine-tuning, and clinical trial matching pipelines
  • Incorporate and advance Natera's transformer-based foundation model by integrating DNA, RNA, and H&E imaging modalities for multi-step biological reasoning and tool use
  • Implement advanced LLM reasoning frameworks, such as ReAct and Chain-of-Thought, alongside reinforcement fine-tuning (RFT) to ensure agents provide accurate, explainable clinical rationales
  • Architect systems that autonomously translate complex, multi-modal data into diagnostic and therapeutic insights with human-verifiable reasoning and tracing
  • Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division, converting complex clinical challenges into scalable AI systems
  • Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability
  • Drive cross-functional alignment and technical consensus by defending agentic architectures 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 years of experience in AI research or engineering, with a proven track record of moving multi-agent orchestration architectures or large-scale language model workflows from prototype to production
  • Deep experience with agentic frameworks, such as LangChain or Claude Agent SDK, retrieval-augmented generation (RAG), and validation frameworks for autonomous AI agents
  • Strong understanding of cancer genomics (WES/WTS), mutational signatures, and structure-activity relationships
  • Advanced production-level development experience using PyTorch and experience with distributed training on large GPU clusters, including NVIDIA H100s

KNOWLEDGE, SKILLS, AND ABILITIES:

  • Ability to operate with absolute ownership to close operational gaps and independently drive architectural deployment
  • Data-driven decision-making focused on empirical model performance and clinical validity
  • Technical leadership capability to define long-term AI engineering roadmaps
  • Rigor in code architecture, reproducibility, and production-grade software engineering practices
  • Comfort with high intellectual friction and the ability to defend scientific and engineering choices under rigorous internal peer review
  • Focus on translating machine learning outcomes directly into patient-centric clinical utility

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