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Lila Sciences

AI-powered scientific discovery for medicines

Editorial Content Co-op

Copywriting & Creative WritingConfirmed live in the last 24 hours
Internship · Winter 2027Cambridge, MA, USANo salary listed

About the Job

Requirements

  • Be enrolled in a degree program or recently graduated.
  • Provide strong writing samples in science, technology, or news reporting.
  • Explain scientific subjects accurately to non-expert readers.
  • Interview subject-matter experts and work from primary sources.
  • Demonstrate precision with sourcing, fact-checking, and style consistency.
  • Be available for the full January through May term on site in Cambridge.

Responsibilities

  • Draft articles, explainers, and social copy about the company's scientific work.
  • Interview scientists and engineers and turn those conversations into accurate stories.
  • Assist in producing short-form video from concept through script and final cut.
  • Assist in building visuals and graphics that make scientific concepts legible to general readers.
  • Contribute to the editorial calendar and launch plans for upcoming content.
  • Fact-check drafts with internal experts before publication.
  • Support occasional team events, including on-site coverage and recaps.

Desired Qualifications

  • Coursework in biology, chemistry, materials science, physics, or computer science.
  • Experience with video production and editing tools.
  • Familiarity with design tools for graphics, diagrams, or data visuals.
  • Student newspaper, magazine, or science communication experience.

About the Company

Lila Sciences

AI-powered scientific discovery for medicines

Lila.ai uses artificial intelligence to speed up scientific discovery in medicines and advanced materials. The system ingests large sets of scientific data, experimental results, and literature to identify patterns, generate hypotheses, and guide research programs. It differentiates itself by tackling deep scientific problems at scale and combining AI with domain expertise, rather than offering generic tools. The goal is to help humanity by delivering new medicines and materials that solve major biological and materials challenges through data-driven discovery.

Company size
501-1,000
Company stage
Series A
Total funding
$550M
Headquarters
Cambridge, MA
Founded
2024

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