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 I/II, X-ray 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 X-ray diffraction measurements into trusted, machine-readable structural, phase, and thin-film data that supports scientific decisions, automated workflows, and model development.
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 experience with X-ray diffraction methods, including PXRD and related materials characterization workflows
- Strong understanding of diffraction principles, phase identification, microstructure analysis (crystallite size, microstrain, texture), structure-property relationships, and common sources of measurement error
- Experience preparing samples for XRD measurement, validating methods, interpreting data, and troubleshooting instrument or workflow issues
- Experience with XRD analysis software, scientific data analysis, or scripting for data processing
- Ability to turn characterization workflows into reliable, structured, machine-readable data
More about this role
Lila Sciences is seeking a Scientist I/II, X-ray 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 X-ray diffraction measurements into trusted, machine-readable structural, phase, and thin-film data that supports scientific decisions, automated workflows, and model development.
You will develop, validate, and operate XRD characterization workflows across a range of materials systems, including powder X-ray diffraction (PXRD), X-ray reflectometry (XRR), grazing-incidence X-ray diffraction (GIXRD), and associated analyses. You will prepare samples for XRD measurement, run measurements, interpret diffraction and reflectometry data, troubleshoot data-quality issues, and build methods that ensure characterization data is accurate, reproducible, and fit for purpose.
You will also help translate XRD expertise into scalable analyzer workflows. Partnering with AI, software, automation, and experimental teams, you will support data ingestion, metadata capture, provenance, quality control, and...
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