Co-Op, Structuring Scientific Data for Discovery
Lila Sciences · Cambridge, MA USA; San Francisco, CA USA · Alewife, Cambridge, MA · San Francisco, CA
Bio & Science AIonsiteintern
At a glance
Highlights
- Turn unstructured literature and patents into structured discovery signals.
- Ship extraction pipelines that flow into production systems.
- Contribute to a publication or open-source project from your work.
Ideal candidate
A curious science-minded student who thrives on messy real-world data and fast learning in research settings, excited to turn scientific knowledge into discovery.
Requirements
- Pursuing Bachelor's, Master's, or PhD in CS, chemistry, materials science, physics, biology, or chemical engineering
- Solid foundation in machine learning fundamentals and Python
- Familiarity with NLP or computer vision concepts
- Curiosity about scientific data and willingness to learn quickly in a research setting
- Clear written and verbal communication
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
Posted · Last seen