Co-op, Structuring Scientific Data for Discovery

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Our team turns unstructured scientific knowledge, including literature, patents, and technical reports, into structured signals that power downstream Lila applications.

As a Data Extraction Co-Op, you will work alongside research scientists and engineers on a focused sub-problem in this stack. You will fine-tune and evaluate models for scientific knowledge extraction and retrieval, build pipelines for messy real-world data, and ship work that flows into production systems.

• Fine-tune and evaluate language, multimodal, or specialized models for scientific data extraction
• Build retrieval and RAG pipelines surfacing relevant documents, tables, and figures
• Generate and validate structured datasets extracted from scientific literature and patents
• Run end-to-end pipelines and analyze results against clear evaluation criteria
• Document findings and present them to the team
• Contribute to a publication or open-source project where the work supports it
• Pursuing a Bachelor's, Master's, or PhD in CS, chemistry, materials science, physics, biology, or chemical engineering
• Solid...

Read the full posting on Lila Sciences's site ↗