AI Data Extraction Co-op — Research & Pipelines

Lila Sciences; Cambridge (MA); On-site; USD 30,000 - 39,000; Part time

Job summary

Lila Sciences is building AI systems to accelerate discovery across physical and life sciences. As a Data Extraction Co-Op, you will collaborate with researchers to fine-tune models, build data pipelines, and ship components that feed production systems.

You will develop expertise in scientific data extraction and retrieval, work with messy real-world data, and contribute to publications or open-source efforts while learning quickly in a research setting.

Qualifications

• Solid foundation in machine learning and Python.
• Familiarity with NLP or computer vision concepts.
• Curiosity about scientific data and ability to learn quickly.

Responsibilities

• Fine-tune and evaluate models for scientific data extraction.
• Build retrieval and RAG pipelines for documents, tables, figures.
• Generate structured datasets from literature and patents.
• Run end-to-end pipelines and analyze results against criteria.
• Document findings and present to the team.
• Contribute to publications or open-source projects.

Skills

Python

ML fundamentals

NLP/CV concepts

Scientific data curiosity

Strong communication

Education

CS/chemistry/materials sci/physics/biology/ChemE

Tools

NumPy/Pandas

Git

OCR

Job description

Lila Sciences is building AI systems to accelerate discovery across physical and life sciences. As a Data Extraction Co-Op, you will collaborate with researchers to fine-tune models, build data pipelines, and ship components that feed production systems.

You will develop expertise in scientific data extraction and retrieval, work with messy real-world data, and contribute to publications or open-source efforts while learning quickly in a research setting.