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, Characterization and Composition Analysis 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 elemental measurements into trusted, machine-readable composition data that supports scientific decisions, automated workflows, and model development.
What they're looking for
- PhD in Materials Science, Chemistry, Physics, Engineering, or a related field, or M.S. with equivalent hands-on characterization experience
- Hands-on experience with XRF, SEM-EDS, and WDS for elemental analysis
- In-depth knowledge of the physical principles behind XRF, EDS, and WDS analysis, including signal generation, matrix effects, calibration, quantification, and common sources of error
- Strong understanding of calibration, quantification, spectral interpretation, and data-quality control
- Experience preparing standards, validating methods, and troubleshooting measurement issues
- Experience writing analysis notebook and maintaining shared, tested code in a version-controlled codebase
More about this role
Lila Sciences is seeking a Scientist I/II, Characterization and Composition Analysis 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 elemental measurements into trusted, machine-readable composition data that supports scientific decisions, automated workflows, and model development.
This is a hybrid experimental and software-facing role, centered on hands-on characterization with substantial analyzer development. You will work with X-ray fluorescence (XRF), SEM-based energy-dispersive spectroscopy (SEM-EDS), wavelength-dispersive spectroscopy (WDS), and related analytical instruments. You will develop and validate methods, prepare standards and calibrations, execute measurements, interpret spectra, and troubleshoot issues from instrument, sample-preparation, and data-quality.
You will also design, write, and maintain the analyzer software behind these workflows. Partnering with AI, software, and automation teams, you will build spectral processing, quantification, automated data ingestion, metadata, provenance,...
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