Drimva

Lila Sciences

Scientist II / Senior Scientist, Electron Diffraction Characterization

$128K–$198K

Cambridge, MA USA +1 · Senior · Full-time · Posted Sep 14, 2026

Location
Cambridge, MA USA
Alewife, Cambridge, MA
Education
PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or a related field, or M.S. with equivalent hands-on characterization experience.

About the job

Develops and operates electron diffraction characterization workflows, turning measurements into reliable, machine-readable data for materials discovery, analysis, and modeling.

What you'll do

  • Lead and validate electron diffraction workflows, including sample preparation, measurements, data interpretation, and troubleshooting.
  • Develop crystal structure determination and microstructure analysis methods, with calibration, quality-control, and reproducibility standards.
  • Partner with ML, software, automation, and experimental teams to build scalable, traceable analyzer pipelines.

What they ask for

  • PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or a related field, or an 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, troubleshooting workflows, and collaborating across scientific or technical teams.

Nice to have

  • Experience with EBSD or 4D-STEM; familiarity with automated or high-throughput characterization.
  • Proficiency with Python or similar scientific data analysis tools; experience integrating instrument data with ML-ready datasets or analyzer workflows.

Pay

$128,000 — $198,000 USD (base salary)

Tools

SEM, TEM, micro-ED, EBSD, 4D-STEM, Python

AI focus

Supports AI-enabled materials discovery by producing machine-readable diffraction data and collaborating on ML-ready datasets, analyzer pipelines, and model development.

Model-written summary · the original posting is authoritative

First seen Oct 10, 2026 · Last verified Nov 5, 2026 (UTC)