Lila Sciences-posted 6 days ago
$52,000 - $74,667/Yr
Full-time • Entry Level
Cambridge, MA
101-250 employees

We are expanding our R&D and testing capabilities and seeking hands-on lab technicians to support materials science experiments across electrochemistry, materials characterization, and synthesis to and maintain the instrumentation that powers our AI Science Factory (AISF™). You will prep solutions and samples, run instruments, maintain high-quality data, and collaborate closely with scientists and engineers within a laboratory setting.

  • Operate automated lab equipment and interact with teams that span electrochemistry, surface characterization, and synthesis.
  • Own daily lab operations—setup, teardown, material organization, and troubleshooting of novel and fundamental device testing setups.
  • Execute designed protocols, monitor tests, and log observations that can impact data.
  • Provide feedback to scientists and engineers on testing workflows and observations to improve quality, reliability, and efficiency within the lab space.
  • Education: Bachelor’s degree, associate degree, or technical diploma in materials science, chemistry, chemical engineering, physics, electrical engineering, or related field.
  • Lab Fundamentals: Hands-on lab experience from coursework, internships, co-ops, or previous roles handling solid state and liquid materials
  • Equipment Operation: Experience with or willingness to learn techniques within electrochemistry, characterization, or synthesis methods.
  • Physical requirements : Stand for extended periods, lift up to 50 lbs, fine motor tasks.
  • Work with chemicals, solvents, and equipment following PPE and safety procedures.
  • Communication: Clear written and verbal; strong attention to detail and work flow optimization, self-driving mindset for learning new skills/topics and engaging in discussions.
  • Project or historical experience with one or more: potentiostats, materials characterization (ex. SEM/XRD/XRF), profilometry, optical microscopy, 3D printing, vacuum synthesis methods, thin films, and membranes.
  • Workflow Optimization: Documentation design and control of processes relevant to R&D, troubleshooting instruments and implementing improvements for manual and automated workflows.
  • Computer Literacy: Instrument software, coding experience (Python, MATLAB, and other data analysis tools), Excel for data tracking, and communication tools.
  • Engineering: prototyping, 3D printing (FDM/SLA), pumps, valves, and basic engineering tools.
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