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Lab Automation Engineer Jobs in Oregon (NOW HIRING)

OR · On-site

$125K - $156K/yr

... Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you'll find ... You report into the central AI & Automation team, partner directly with domain leadership on ...

OR · On-site

$152K - $190K/yr

... Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you'll find ... You report into the central AI & Automation team, partner directly with domain leadership on ...

OR · On-site

This role will collaborate closely with engineering, operations, and external stakeholders to ... Experience implementing validation automation frameworks * Exposure to lab and field validation ...

Experience in steel foundry or metallurgical lab environments. * Additional certifications or ... intelligent automation to deliver innovative end-to-end solutions incorporating our signature ...

Experience in steel foundry or metallurgical lab environments. * Additional certifications or ... intelligent automation to deliver innovative end-to-end solutions incorporating our signature ...

Experience in steel foundry or metallurgical lab environments. * Additional certifications or ... intelligent automation to deliver innovative end-to-end solutions incorporating our signature ...

Experience with LabVIEW for automation, data management, and scripting * Strong analytical, problem ... Warehouse, lab and office environments Salary offers will depend on factors that include the ...

OR · On-site

$88K - $119K/yr

What we do TheSiteQuality team ensuresSymbotic'sindustry defining warehouse automation ... Familiar with statistical process control software such as SAA,Minitab, andJMPand Mat lab. Advanced ...

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Lab Automation Engineer information

See Oregon salary details

$18

$50

$76

How much do lab automation engineer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for lab automation engineer in Oregon is $50.66, according to ZipRecruiter salary data. Most workers in this role earn between $38.89 and $63.56 per hour, depending on experience, location, and employer.

What does a Lab Automation Engineer do?

A Lab Automation Engineer designs, develops, and maintains automated systems used in laboratory environments to improve efficiency, accuracy, and reproducibility of experiments. They work with robotics, software, and laboratory instruments to streamline workflows for research, diagnostics, or manufacturing processes. Their responsibilities often include programming automation scripts, integrating hardware and software, troubleshooting system issues, and collaborating with scientists to optimize lab operations.

What are the key skills and qualifications needed to thrive in the Lab Automation Engineer position, and why are they important?

To thrive as a Lab Automation Engineer, you need a solid background in engineering or life sciences, experience with laboratory workflows, and proficiency in programming and automation. Familiarity with tools such as liquid handling robots, laboratory information management systems (LIMS), scripting languages (like Python or VBA), and certifications like Six Sigma or CLIA can be highly advantageous. Strong problem-solving abilities, teamwork, and effective communication skills set top performers apart. These skills are crucial for designing efficient automated systems, maintaining equipment, and ensuring seamless lab operations in complex, collaborative environments.

What are some common challenges Lab Automation Engineers face in their daily work?

Lab Automation Engineers often encounter challenges such as troubleshooting integration issues between new automation equipment and existing lab systems, as well as optimizing protocols for maximum efficiency. Adjusting to rapidly evolving technology and managing the customization of automated solutions for diverse experiments are also common aspects of the role. Collaboration with scientists, IT specialists, and quality control teams is essential to ensure that automation meets both technical and regulatory requirements. Successfully navigating these challenges requires adaptability, communication, and a solution-oriented mindset.

What are popular job titles related to Lab Automation Engineer jobs in Oregon? For Lab Automation Engineer jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Lab Automation Engineer jobs in Oregon look for? The top searched job categories for Lab Automation Engineer jobs in Oregon are:
Infographic showing various Lab Automation Engineer job openings in Oregon as of July 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 86% In-person, 9% Hybrid, and 5% Remote job distribution, with an average salary of $105,374 per year, or $50.7 per hour.
Sr. Forward Deployed AI Solutions Engineer

Sr. Forward Deployed AI Solutions Engineer

Natera

OR • On-site

$125K - $156K/yr

Other

Posted 15 days ago


Natera rating

7.7

Company rating: 7.7 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

51st of 105 rated laboratories


Job description

About the role

The Forward Deployed Solutions Engineer will work directly within a business domain (e.g., Commercial, Clinical Operations, Lab Operations, Sales & Marketing, Customer Experience etc.). In your role, you'll find opportunities for enhancing efficiency and productivity by looking for workflows which can be executed 10-100x faster or more often than a human team could using AI agents, integrations and other patterns. You will build, deploy, and run them in production.

You report into the central AI & Automation team, partner directly with domain leadership on priorities, and bring patterns back so the whole company compounds.

Find the leverage in your domain
  • Map the workflows in your domain - the ones running today, and the ones that don't exist yet because they weren't feasible without agents or automation tools.
  • Identify the step-change opportunities: where AI, ML, or automation unlock throughput, coverage, or speed.
  • Build the business case, quantify projected impact, and align with domain leadership on priorities. 
Design the future-state workflow
  • Map structured and unstructured data flows across the systems involved (CRM, ERP, ticketing, document stores, internal tools, external SaaS).
  • Define the target workflow: what the agent does, what the human does, and where they hand off.
  • Figure out what context the agent or model needs to do the work well - and how to get it there reliably (retrieval, grounding, tool access, memory).
  • Design human-in-the-loop checkpoints so review adds value without becoming the bottleneck.
Build and connect the systems
  • Stand up agents and automation pipelines using the organization's approved AI platforms and frameworks.
  • Connect agents to business systems - via MCP servers, APIs, webhooks, CLIs, and skills - within the guardrails set by IT and security.
  • Configure tools, prompts, context, and retrieval pipelines so agents perform reliably on real work, not just in demos.
  • Handle integration gnarliness: auth, schema drift, rate limits, data quality, and the messy last-mile of enterprise systems.
  • Enable access and training for business to run the workflows
Run agents and automation pipelines in production
  • Own agent performance end-to-end. Track the KPIs that matter - throughput, quality, cost, human intervention rate, cycle time, adoption.
  • Build and manage evals. Re-run them on any material model, data, or workflow change before it ships.
  • Triage failures, tune prompts and context, iterate on the workflow, and retire agents when they're no longer the right tool.
  • Instrument observability: tracing, structured logs, dashboards. You don't ship what you can't see.
What we're looking for
  • Hands-on technical fluency. CLIs, APIs, webhooks, SQL, and Python scripting. Working knowledge of LLM and agent behavior - prompting, context, tool use, RAG, MCP, evals, failure modes. Be very comfortable with a cloud platform.
  • Trustworthy with elevated access. Least-privilege, auditability, and safe rollbacks are second nature.
  • Strong technical and process judgment. You think in outcomes and KPIs, can defend prioritization calls, and are comfortable being the most technical person in a business meeting and the most business-savvy in a technical one.
Nice to have
  • Prior experience working hand in hand with businesses to deliver measurable outcomes.
  • Hands-on experience with an enterprise agentic platform (CrewAI, LangChain, AWS Bedrock, Claude, Codex) or building directly against a model API.
  • Background in product management, solutions engineering, consulting, forward-deployed engineering, or technical operations.
  • Experience in regulated environments (HIPAA, SOC 2, GxP, SOX).
Success in year one
  • Shipped three or more workflows into production that are measurably moving a business KPI, with agent evals and observability in place.
  • Domain leadership brings you into planning early, not late.
  • Contributed at least one reusable asset another engineer on the team is now using.
  • Enabling non builders to become builders using the artifacts you created.
Compensation Ranges:

The base salary range for standard cost of living areas is: $125,000-$156,300

Higher cost of living areas: $137,500 - $171,900

Lower cost of living areas: $112,600-$140,700

Additional components such as bonus and equity are also included in this role.


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