Scientist II / Senior Scientist, Electron Diffraction Characterization
Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA
CHECKED 15H AGO
Bio & Science AIonsitesenior$128k–$198k
At a glance
Highlights
- Lead electron diffraction workflows powering autonomous materials discovery platform.
- Turn diffraction measurements into trusted data for crystal structure determination.
- Define QC and reproducibility standards to scale characterization across Lila.
What they offer
- Competitive base compensation with bonus potential and early-stage equity
- Medical, dental, and vision coverage
- Employer-paid life and disability insurance
- Flexible time off with company holidays and paid parental leave
- Educational assistance, commuter benefits and subsidized lunch
Ideal candidate
Hands-on experimentalist with deep curiosity for microstructure who cares about data quality and reproducibility. Thrives at the instrument and collaborating across disciplines to scale science.
Requirements
- PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering or related field, or 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 and troubleshooting workflow issues
- Ability to translate characterization workflows into reliable, structured, machine-readable data
- Experience collaborating across scientific, ML, software, automation or data teams
- Clear communication skills for documenting methods, explaining results and driving cross-functional decisions
Lab profile
About Lila Sciences
Building an autonomous science platform where AI, automation, and biology co-evolve for medicine and materials.
What they build
- Autonomous Science Platform
- AI-designed biologics validated in wet-lab
- Electro-optic materials and photonic devices
Known for
- Large-scale automated data generation
- High-throughput protein purification and analytics
- Protein design and BioML modeling
- Robotic orchestration and lab simulation