Co-Op, Data Extraction

lilasciences· Physical Sciences AI
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📍 Cambridge, MA USA

About this role

Your Impact at LILA

Lila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Sciences AI, our team works on turning unstructured scientific knowledge (e.g., literature, patents, 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 get hands-on experience fine-tuning and evaluating extraction models, building pipelines for messy real-world data, and shipping work that flows into production systems.

What You'll Be Building

  • Contribute to AI systems that extract and structure knowledge from scientific literature and patents, focused on a well-defined sub-problem
  • Fine-tune and evaluate language, multimodal, or specialized models for data extraction, with mentor guidance
  • Build and test pipelines that structure unstructured scientific data across text, tables, and visuals
  • Run extraction pipelines, analyze results, and document findings clearly
  • Share your work through a team presentation, write-up, or contribution to a publication or open-source project

What You'll Need to Succeed

  • 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)
  • Experience working with messy, real-world datasets
  • Interest in scientific document parsing

About LILA

Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.

LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.

Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. 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.

We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.

Frequently Asked Questions

Is the salary disclosed for the Co-Op, Data Extraction position at lilasciences?
The salary for this Co-Op, Data Extraction role at lilasciences is not publicly listed. Click "Apply Now" to learn more about the compensation package on their official careers page.
Where is the Co-Op, Data Extraction position at lilasciences located?
This Co-Op, Data Extraction role at lilasciences is based in Cambridge, MA USA. The position is listed as on-site or hybrid. Check the full job description or apply directly to confirm the work arrangement.
Which team or department does the Co-Op, Data Extraction at lilasciences belong to?
This Co-Op, Data Extraction position is part of the Physical Sciences AI department at lilasciences. See the full job description for more information about the team structure and responsibilities.
How do I apply for the Co-Op, Data Extraction position at lilasciences?
Click the "Apply Now" button on this page. You will be redirected to lilasciences's official application portal hosted on greenhouse where you can submit your application directly.
When was the Co-Op, Data Extraction job at lilasciences posted?
This Co-Op, Data Extraction position at lilasciences was posted on Jun 11, 2026. Apply as soon as possible — early applications are often reviewed first.
Co-Op, Data Extraction
lilasciences
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