Co-Op, Data Extraction

Full Timeintern

Cambridge, MA USAPosted 28 days ago

Role Overview

Lilasciences is hiring a internship Co-Op, Data Extraction. This is a full-time role in Cambridge. posted 4 weeks ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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PythonORPrivacyDiscoveryImpactLILASciencesAI

Job description

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.

About Lilasciences

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Frequently Asked Questions

How do I apply for the Co-Op, Data Extraction position at Lilasciences?

Use the Apply button above to submit your application directly to Lilasciences. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Co-Op, Data Extraction position at Lilasciences located?

This position is based in Cambridge. Lilasciences has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Co-Op, Data Extraction at Lilasciences earn?

Lilasciences has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Co-Op, Data Extraction role at Lilasciences posted?

This role was posted on June 11, 2026 (28 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.