Hiring nowAutonomous laboratories and scientific agents

Laboratory Automation Engineer

Also called Lab Automation Engineer · Autonomous Lab Engineer · Self-Driving Lab Engineer

A Laboratory Automation Engineer connects instruments, control software and experiment records so that experiments run the same way every time. It matters because scientific agents are only useful if their plans can be executed safely and reproduced.

What they do

The work starts at the bench. They map each instrument, its interface and its failure modes, then connect it to workflow software through instrument APIs. They build and test protocols, set limits on what can be run, and write the checks that stop an unsafe or malformed request before it reaches hardware. They calibrate, log and version everything, so any result can be traced to the exact instrument state. When an agent or a scientist proposes an experiment, they translate it into steps the lab can run, and they investigate when a run drifts or fails.

What a strong hire delivers

In the first months, a strong hire delivers one or two instrument workflows that run end to end, with validation evidence and calibration records the scientists trust. Experiment records become complete and traceable. Safety limits and fault handling are written down and tested. Run failures fall, and the team can say why the remaining ones happen. Scientists spend less time babysitting equipment.

How you can tell they are good

Ask them to walk through a workflow they connected and what went wrong. Strong people talk about calibration drift, timing, error recovery and records, not only code. Ask how they would stop an agent from sending an unsafe request. Listen for hard limits enforced outside the model, a clear view of biosafety, and honesty about what they could not validate.

Why it is hard to fill

Hardly anyone has done all of this. Titles vary, and the skills are split across lab automation, robotics, scientific software and bench science. Most candidates are strong in one area and thin in another. Few have worked with agents driving instruments, so the pool is tiny and already employed. Employers also compete for the same handful of people. We usually have to assess adjacent backgrounds carefully rather than wait for an exact match.

Where to find them

Look in biotech automation teams, national laboratories and core facilities where instruments are shared and scheduled. Useful titles include automation engineer, robotics engineer, scientific software engineer, laboratory informatics specialist and research engineer. Many started as bench scientists who learned to code, or as controls and robotics engineers who moved into biology or chemistry. Companies building self-driving labs are another source.

Indicative pay

Not enough published evidence yet to give a fair range for this role, which is common for work this new. We benchmark it for you as part of a search.

Interview questions for a Laboratory Automation Engineer

  1. Describe an instrument integration you built. What did you connect, and what broke first?

    Specific detail on interfaces, timing, drivers and failure modes. Strong answers name a real fault and how they found it. Worry if they only describe the design, or claim nothing went wrong.

  2. How do you decide a workflow is validated and ready for routine use?

    Covers acceptance criteria, repeat runs, calibration checks, edge cases and sign-off by the scientists. Worry about validation that is a single successful run or relies on trust.

4 more questions, with what a strong answer covers, are in the Role Kit.

Job description you can post

We are building laboratory systems where software and scientific agents plan experiments and instruments carry them out. We need an engineer to connect equipment and workflow software so that runs are safe, reproducible and reliable. You will work closely with scientists at the bench.

What you will do

  • Integrate instruments with workflow software through their APIs and control interfaces
  • Build, test and validate experimental workflows end to end
  • Enforce safety limits and fault handling in the control layer
  • Maintain calibration records and complete experiment records
  • Investigate failed or drifting runs and fix root causes
  • Translate scientists' and agents' experiment requests into executable protocols

What you will bring

  • Demonstrated work connecting laboratory instruments to software
  • Experience writing control or integration code that ran on real hardware
  • Clear approach to validation, calibration and traceable records
  • Working knowledge of laboratory safety and biosafety practice
  • Ability to debug across hardware, software and experimental causes
  • Comfortable working directly with scientists

Nice to have

  • Experience with lab workflow engines or scheduling software
  • Exposure to agent frameworks driving real equipment
  • Background in experimental design

Free to use and adapt. If it saves you time, a link back to this page is appreciated.

Skills that matter

  • Lab automation and biosafetyAdvancedIntegrate instruments and safe experiment execution
  • Agent orchestrationAdvancedCoordinate tool-using agent execution
  • Scientific domain expertiseWorkingApply disciplinary theory and experimental standards
  • Experimental designWorkingChoose comparisons that identify credible effects

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How we wrote this

Role definitions are our own editorial work, checked against occupational classifications, standards, research and employer pages. Titles vary by company, and this is a description of the work, not a job advert.

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