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Active1d ago

Co-Op, Structuring Scientific Data for Discovery

Lila Sciences·📍 Cambridge, Ma Usa, United States

Employment

Full-Time

Work mode

On-site

Experience

Not stated

Salary

Not disclosed

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-

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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

Skills & requirements

Qualification

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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