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 Scientist II / Senior Scientist, Electron Diffraction Characterization to join the Materials Science team within the Autonomous Science Platform. The Autonomous Science Platform combines experimental science, automation, AI, and software to accelerate materials discovery.
What they're looking for
- PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or a related field, or M.S. with equivalent hands-on characterization experience
- Hands-on expertise in SEM and TEM including advanced diffraction analysis such as micro-ED
- Strong understanding of diffraction principles, crystallography, crystal structure determination, and microstructure analysis
- Experience preparing samples, validating methods, interpreting diffraction data, and troubleshooting workflow issues
- Ability to translate characterization workflows into reliable, structured, machine-readable data
- Experience collaborating across scientific, ML, software, automation, or data teams
More about this role
Lila Sciences is seeking a Scientist II / Senior Scientist, Electron Diffraction Characterization to join the Materials Science team within the Autonomous Science Platform. The Autonomous Science Platform combines experimental science, automation, AI, and software to accelerate materials discovery. This role turns electron diffraction and microstructure measurements into trusted, machine-readable data that supports crystal structure determination, materials characterization, automated workflows, and model development.
You will lead method development, validation, and operation for electron diffraction characterization workflows, with emphasis on micro-ED and/or EBSD. You will prepare samples, run measurements, interpret diffraction and microstructure data, troubleshoot data-quality issues, and establish workflows that make characterization outputs accurate, reproducible, and fit for purpose.
You will also translate electron diffraction expertise into scalable analyzer pipelines. Partnering with ML, software, automation, and experimental teams, you will define metadata, quality-control checks, provenance, and analysis workflows that make diffraction data reliable, traceable, and...
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