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Science and health
Autonomous laboratories and scientific agents
Autonomous laboratories and scientific agents join model reasoning to real experimental work. The people in this family build systems that plan, run and learn from experiments, within limits that keep the science sound and the lab safe.
Models can now propose experiments, but a proposal is not a result. Companies want agents that act on real instruments and return checkable findings. Hiring is tricky because the skills sit in separate worlds. Automation engineers rarely know sequential experiment design, and agent builders rarely know lab hazards. Look for people who treat safety and reproducibility as design constraints, not afterthoughts, and who can say where an agent should stop.
Roles in this family
4 roles
Where the people come from
Laboratory automation, scientific software, robotics or experimental science
Not to be confused with. Autonomous execution does not remove scientific or biosafety accountability.
Core skills
Where it is used
Routes in and out
People move in from
- Scientific machine learning and research computingAdd instrument integration, lab safety and sequential experiments
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