Co-Op, Materials Science, Heterogeneous Catalysis
Lila Sciences · Cambridge, MA USA · Alewife, Cambridge, MA
Bio & Science AIonsiteco-op
At a glance
Highlights
- Build high-throughput workflows for catalyst synthesis and testing.
- Run reactor tests measuring activity, selectivity, and stability.
- See hands-on lab work connect to AI-guided materials discovery.
Ideal candidate
Graduate student in chemistry or related field who loves hands-on lab work and owns experiments end-to-end. Detail-oriented, safety-minded communicator excited by automated, data-rich science.
Requirements
- Currently enrolled in a Masters or PhD program in Chemistry, Chemical Engineering, Materials Science, or a related field
- Hands-on laboratory experience with materials synthesis or catalyst testing
- Working knowledge of common characterization techniques (XRD, BET, TGA, FTIR, or similar)
- Ability to handle chemicals safely and follow lab safety protocols
- Strong attention to detail in experimental execution and record keeping
- Clear written and verbal communication of experimental results
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
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