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Lila Sciences

AI-powered scientific discovery for medicines

Microfabrication Scientist 1/2

Hardware EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Materials Science, Electrical Engineering, Chemical Engineering, Physics, or a closely related field is required.
  • At least five years of hands-on cleanroom experience in research, development, or manufacturing is required.
  • Deep expertise in thin-film deposition, including recipe development and troubleshooting, is required.
  • Proficiency in photolithography, wet and dry etching, and thin-film deposition is required.
  • Hands-on experience with metrology and characterization tools as part of process development is required.
  • A track record implementing novel fabrication process flows when established recipes do not fit is required.

Responsibilities

  • Design and fabricate prototype devices and test structures used to evaluate novel materials.
  • Develop, optimize, and troubleshoot thin-film deposition recipes across diverse material systems.
  • Execute cleanroom processes, including lithography, wet and dry etching, and thin-film deposition.
  • Characterize films and devices using profilometry, ellipsometry, scanning electron microscopy (SEM), and electrical probing.
  • Integrate fabrication processes into automated and high-throughput workflows.
  • Translate experimental goals into manufacturable process steps in partnership with materials scientists and engineers.
  • Develop fabrication process flows, potentially using non-standard approaches, to shape how the platform builds and interrogates new material systems.
  • Contribute experimental outputs to closed-loop discovery campaigns.
  • Partner with materials scientists, device physicists, systems engineers, and machine learning scientists to develop and execute fabrication campaigns.

Desired Qualifications

  • An advanced degree (M.S. or Ph.D.) is preferred.
  • Experience with epitaxial deposition techniques.
  • Experience with device fabrication for electronic, photonic, microelectromechanical systems (MEMS), spintronic, or quantum applications.
  • Proficiency in lift-off patterning and process selection for device and material requirements.
  • Familiarity with high-throughput or combinatorial fabrication process integration.
  • Proficiency in Python for scientific data analysis.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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