Startups · AI

Platform Scientist I/II, Functional Materials Instrumentation

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 seeking a Platform Scientist I/II to advance functional materials innovation. In this role, you will design and integrate custom instruments and specialized hardware, to fabricate, characterize, and test novel functional materials and devices. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • PhD or equivalent experience in applied physics, materials science, chemistry, or a related field
  • Scientific domain of expertise in functional materials (semiconductor, photonics, superconducting materials etc.)
  • Expertise in solid state syntheses and characterization for functional materials
  • Proven ability to build and integrate hardware for novel and high throughput experimentation
  • Ability to work in fast, data-driven, high-throughput R&D environments
More about this role

Lila Sciences is seeking a Platform Scientist I/II to advance functional materials innovation.

In this role, you will design and integrate custom instruments and specialized hardware, to fabricate, characterize, and test novel functional materials and devices.

This work sits at the intersection of hardware design, materials science, solid-state physics, and automated experimentation. Success means building lab capabilities that accelerate current technical programs and strengthen Lila's platform offering for future customers.

  • Establish fabrication and measurement workflows for functional materials.
  • Specify, source, assemble, and validate custom synthesis and characterization systems, with an emphasis on optical characterization methods
  • Lead integration of instrumentation into autonomous lab and AI-driven experimental workflows.
  • Diagnose, iterate, and improve instrument designs based on experimental feedback.
  • Partner with computational, synthesis, and characterization teams to define which hardware capabilities to build next.
  • PhD or equivalent experience in applied physics, materials science, chemistry, or a related field.
  • Scientific domain of expertise in functional...

Read the full posting on Lila Sciences's site ↗

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