Senior Scientist: Electron Diffraction & Materials Characterization

Lilasciences; Cambridge; On-site; GBP 65,000 - 95,000; Full time

Job summary

Lila Sciences is seeking a Scientist II / Senior Scientist in Electron Diffraction Characterization to join the Materials Science team. You will lead electron diffraction workflows, prepare samples, run measurements, and interpret data to enable reliable, scalable analytics across the platform.

Collaborating with ML, software, automation, and experimental teams, you will define metadata, QC checks, and analysis pipelines to ensure diffraction data is traceable and ready for modeling and

Qualifications

• PhD or MSc with hands-on electron diffraction experience.
• Experience in SEM/TEM including diffraction analysis.
• Ability to translate characterization workflows into reliable, structured, machine-readable data.
• Strong cross-functional collaboration and communication.

Responsibilities

• Lead micro-ED and electron microscopy characterization workflows.
• Develop methods for crystal structure determination and microstructure analysis.
• Prepare samples, run measurements, interpret data, and troubleshoot quality issues.
• Define calibration, validation, QC, and reproducibility standards for electron diffraction workflows.
• Build structured, traceable diffraction outputs for downstream analysis and modeling.
• Partner with ML, software, automation, and experimental teams on analyzer pipelines.
• Translate project needs into fit-for-purpose characterization methods and analysis plans.

Skills

SEM

TEM

Diffraction analysis

Crystallography

Python

Communication

Education

PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or related field

Tools

EBSD

4D-STEM

micro-ED

Job description

Lila Sciences is seeking a Scientist II / Senior Scientist in Electron Diffraction Characterization to join the Materials Science team. You will lead electron diffraction workflows, prepare samples, run measurements, and interpret data to enable reliable, scalable analytics across the platform.

Collaborating with ML, software, automation, and experimental teams, you will define metadata, QC checks, and analysis pipelines to ensure diffraction data is traceable and ready for modeling and