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Remote G Code Programmer Jobs in Vancouver, WA (NOW HIRING)

Senior PHP Developer

Vancouver, WA · On-site +1

$120K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... remote flexibility, and career growth through impactful projects in a collaborative culture ... Write clean, testable code with strong error handling and fault-tolerant design. * Provide guidance ...

Engineer

Portland, OR · On-site +1

  • Medical

  • Retirement

  • PTO

In addition, your work will potentially take you into the remote and scenic areas of our ... Benefits Additional Information Req Id: 114588 Company Code: Pacificorp #PM25 Primary Location:

Engineer

Portland, OR · On-site +1

  • Medical

  • Retirement

  • PTO

In addition, your work will potentially take you into the remote and scenic areas of our ... Benefits Additional Information Req Id: 114588 Company Code: Pacificorp #PM25 Primary Location:

Senior Software Engineer

Portland, OR · On-site +1

$129K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote position anywhere in the USA. Meet the Team Our software engineering team develops ... We use secure coding practices, protect user privacy, and follow software development best ...

Senior Software Engineer (Remote)

Portland, OR · Remote

$129K - $171K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This is a remote role anywhere in the USA. Meet the Team Our software engineering team develops ... We use secure coding practices, protect user privacy, and follow software development best ...

Senior Software Engineer

Portland, OR · On-site +1

$140K - $175K/yr

Expertise in prompt engineering and AI-assisted development as a daily practice - Claude Code ... While we will consider remote applicants on a case-by-case basis, local presence is strongly valued ...

Showing results 41-60

Remote G Code Programmer information

See Vancouver, WA salary details

$12

$41

$71

How much do remote g code programmer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for remote g code programmer in Vancouver, WA is $41.39, according to ZipRecruiter salary data. Most workers in this role earn between $26.92 and $53.85 per hour, depending on experience, location, and employer.

What is the difference between Remote G Code Programmer vs CNC Machinist?

AspectRemote G Code ProgrammerCNC Machinist
CredentialsKnowledge of G-code, CAD/CAM software, sometimes certifications in CNC programmingTechnical training, certifications in machining or manufacturing
Work EnvironmentPrimarily remote, computer-based tasksOn-site manufacturing or machine shop
Industry UsageDesigning and programming CNC machines remotelyOperating CNC machines directly in production
Search & Comparison IntentUnderstanding programming roles, remote work optionsHands-on machining skills, on-site work

The main difference is that Remote G Code Programmers focus on writing and optimizing G-code instructions remotely, often using CAD/CAM software, while CNC Machinists operate and set up CNC machines directly in manufacturing environments. Both roles require knowledge of G-code, but their work settings and responsibilities differ significantly.

What are popular job titles related to Remote G Code Programmer jobs in Vancouver, WA?

For Remote G Code Programmer jobs in Vancouver, WA, the most frequently searched job titles are:

What job categories do people searching Remote G Code Programmer jobs in Vancouver, WA look for?

The top searched job categories for Remote G Code Programmer jobs in Vancouver, WA are:

What cities near Vancouver, WA are hiring for Remote G Code Programmer jobs?

Cities near Vancouver, WA with the most Remote G Code Programmer job openings:

Bioinformatics Research Scientist - AI Reviewer

micro1 AI

Beaverton, OR • Remote

$80 - $110/hr

Part-time

Posted 17 days ago


Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.