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Scientist I/II, X-ray Diffraction Characterization

Lila Sciences· Autonomous Science Platform
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Cambridge, MA$108k - $170kfull-timePosted 1mo ago

About the role

Scientist I/II, X-ray Diffraction Characterization at Lila Sciences responsible for turning XRD measurements into trusted, machine-readable data and developing/readying XRD workflows (PXRD, XRR, GIXRD) across materials systems, enabling scalable analyzer workflows and reliable data for AI, software, and experiments.

Responsibilities

  • Develop PXRD, XRR, GIXRD, and related XRD characterization methods.
  • Operate XRD workflows for materials discovery and commercial project support.
  • Prepare samples for XRD measurement, run measurements, interpret data, and troubleshoot issues.
  • Define calibration, validation, QC, and reproducibility standards for XRD workflows.
  • Build structured, traceable data outputs for downstream analysis and modeling.
  • Partner with AI, software, automation, and experimental teams on analyzer workflows.
  • Maintain instrument readiness through SOPs, documentation, and troubleshooting.
  • Translate project needs into fit-for-purpose XRD methods and analysis plans.

Qualifications

  • PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or related field, or MS with equivalent hands-on characterization experience.
  • Hands-on experience with X-ray diffraction methods, including PXRD and related 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.
  • Clear communication skills for working across scientific, AI, automation, and software teams.

Skills

Required:X-ray diffraction (PXRD, XRR, GIXRD)Data provenance and structuringMethod development and validation
Nice to have:Scripting / data processing

Benefits

  • Comprehensive benefits program including medical, dental, and vision; employer-paid life and disability insurance; flexible time off with holidays; paid parental leave; educational assistance; commuter benefits (bike share); subsidized lunch program.
Last updated Sep 16, 2026. Interested? Apply on the company site.
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About Lila Sciences

Pioneering Scientific Superintelligence

Pioneering Scientific Superintelligence to solve humankind’s greatest challenges.

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