Lilasciences
Co-Op, Automated Systems Engineer
Cambridge, MA USA. Posted 17 days ago
The role
You will build and test automated systems that run laboratory workflows. This lab-floor role involves integrating instruments and troubleshooting systems that run live experiments.
What you will do
- Support cross-functional requirements gathering and project documentation.
- Assist in converting manual scientific protocols into automation concept designs.
- Research new instruments and technologies for physical integration and workflow fit.
- Contribute to concept design documentation, system architecture diagrams, and interface definitions.
- Maintain and update the federated factory layout model, including layout drawings and 3D models.
- Support feasibility assessments for proposed automation opportunities.
- Help document lab automation best practices and lessons learned.
Required qualifications
- Currently enrolled in a Bachelor’s or Master’s program in Biomedical Engineering or Bioengineering.
- Coursework or lab experience in the life sciences.
- 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.
Nice to have
- Wet lab exposure through coursework, undergraduate research, or a prior role involving pipetting, sample handling, or assay work
- Familiarity with CAD and some experience with rapid prototyping or 3D printing
- Experience with automated liquid handlers (Hamilton, Tecan, Opentrons) or robotic arms
- Coursework or project experience with control systems, PID loops, or microcontrollers
- Prior robotics competition, research lab, or iGEM-style team experience
About the company
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. The company combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science.