Co-Op, Structuring Scientific Data for Discovery
Salary not disclosed
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Role overview
Job description
Your Impact at LILA 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. What You'll Be Building 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-
…About this listing
- Source: Lila Sciences's official careers site (via Greenhouse) · last confirmed on the source 30 Oct 2026
- Posted 28 Oct 2026
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What they are looking for
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If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply
Department · Physical Sciences AI
Hiring company
Lila Sciences
LILA has created the world's first Operating System for Science powered by Scientific Superintelligence™
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