Co-Op, Data Extraction

Lila Sciences
Cambridge
Workplace: OnsiteInternshipFunction: Data Analytics & Business IntelligenceEducation: bachelorsSkills: ["Python","NLP","Computer vision","OCR","Multimodal models"]

Data Extraction Co-Op at Lila Sciences supports building AI systems that convert unstructured scientific knowledge into structured signals. You will fine-tune and evaluate extraction models, develop pipelines for messy data across text, tables, and visuals, run extraction workflows, and communicate results to the team, contributing to production-ready research outputs.

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Lila Sciences
Lila Sciences
3 months ago

Co-Op, Data Extraction

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Job Summary

Data Extraction Co-Op at Lila Sciences supports building AI systems that convert unstructured scientific knowledge into structured signals. You will fine-tune and evaluate extraction models, develop pipelines for messy data across text, tables, and visuals, run extraction workflows, and communicate results to the team, contributing to production-ready research outputs.
Location: Cambridge
Workplace: Onsite
Employment Type: Internship
Job Function: Data Analytics & Business Intelligence
Seniority: Intern level

Key Responsibilities

  • •Collaborate with researchers and engineers to extract and structure knowledge from scientific literature and patents
  • •Fine-tune and evaluate language, multimodal, or specialized models for data extraction under mentorship
  • •Build and test pipelines to structure unstructured scientific data across text, tables, and visuals
  • •Run extraction pipelines, analyze results, and document findings clearly for team consumption
  • •Share your work through presentations, write-ups, or contributions to publications/open-source projects

Key Requirements

  • •Pursuing a Bachelor's, Master's, or PhD in Computer Science, Chemistry, Materials Science, or a related field
  • •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
  • •Bonus points for coursework or projects involving multimodal models or document understanding (OCR, table/figure extraction) or experience with messy real-world datasets
Education:Bachelor's in Computer Science
Skills:PythonNLPComputer visionOCRMultimodal models
Languages:English
Tech Stack:PythonNLPComputer visionOCRMultimodal models

Company Brief

Lila Sciences
Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.
Industry: Biotech
Company Size: Small (11 to 50 employees)
Growth: Early Stage Startup
Funding: Seed
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