Startups · AI

Co-op, Automated Systems Engineer

Lila Sciences · Cambridge, MA USA · On-site

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About Lila Sciences

LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™. Backed by General Catalyst.

About the role

Lila Sciences is looking for a hands-on engineering co-op to help build and test the automated systems that run our laboratory workflows. Reporting to a senior manager on the Automated Systems Engineering team and paired with a day-to-day mentor, you will work alongside engineers and scientists on real workcells that are being deployed. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Currently enrolled in a Bachelor's or Master's program in Biomedical, Mechanical, Electrical, Mechatronics, Robotics, or Chemical Engineering, Bioengineering, or a related field
  • Available for a full-time co-op term (typically 4 to 6 months) on-site in Cambridge
  • Working knowledge of Python through coursework, projects, or prior internships
  • Curiosity, attention to detail, and willingness to ask questions and work through unfamiliar problems
  • Clear communication and comfort working with people across different technical backgrounds
More about this role

Lila Sciences is looking for a hands-on engineering co-op to help build and test the automated systems that run our laboratory workflows. Reporting to a senior manager on the Automated Systems Engineering team and paired with a day-to-day mentor, you will work alongside engineers and scientists on real workcells that are being deployed.

This is a lab-floor role. You will spend your time integrating instruments and troubleshooting systems that run live experiments. By the end of the co-op you should own a meaningful piece of a system and understand how scientific goals turn into working hardware.

Along the way you will see how scientific objectives become scoped technical requirements, how science, hardware, controls, and software teams coordinate interfaces on a shared system, and how automated experiments generate the structured, high-quality data that feeds AI-driven experimental design. You will also get hands-on time with emerging lab technology, including machine vision, advanced sensors, and automated scheduling software.

  • Support cross-functional requirements gathering and project documentation using established team templates and execution guidelines.
  • Assist in...

Read the full posting on Lila Sciences's site ↗

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