Co-Op, Editorial Content
Lila Sciences
Cambridge
Your Impact at LILA
The Editorial Content Co-Op joins Lila's Communications team to help tell the story of the company's scientific work across life sciences, materials science, and AI research. Output is published on lila.ai/news and Lila's social channels.
The co-op writes and produces content end to end: drafting articles and social copy, interviewing scientists about their work, scripting and producing short-form video, and building visuals that make complex science legible. They also contribute to content planning and launch strategy, and support occasional team events.
This is a good fit for a candidate who writes clearly about scientific subjects and wants real newsroom-style reps alongside working scientists. The co-op works directly with the editorial team, all former journalists, and reports to the hiring manager. The term runs January through May, based on site in Cambridge at our One Charles Park and Alewife offices.
If you do not check every box below but bring strong curiosity, grit, and the ability to thrive in a fast-paced environment, we would love to hear from you.
What You'll Be Building
- Draft articles, explainers, and social copy about Lila's scientific work
- Interview scientists and engineers, then 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
What You'll Need to Succeed
- Enrolled in a degree program or recently graduated
- Strong writing samples in science, technology, or news reporting
- Ability to explain scientific subjects accurately to non-expert readers
- Comfort interviewing subject-matter experts and working from primary sources
- Precision with sourcing, fact-checking, and style consistency
- Available for the full January through May term, on site in Cambridge
Bonus Points For
- 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 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.
Similar jobs
Co-Op, Ai-Driven Equation Discovery
Your Impact at LILAThe PS AI team sits at the intersection of Physical Sciences R&D and AI/ML. Lila runs high-throughput experiments acro...
Co-Op, Bayesian Methods For Complex Decision Making
Your Impact at LILALila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Within Physical Scien...
Co-Op, Scada Engineer
Your Impact at LILALila's SCADA system spans cloud and on-premise infrastructure: Ignition gateways on EC2, a historian on RDS PostgreSQL...
Co-Op, Structuring Scientific Data For Discovery
Your Impact at LILALila Sciences builds AI systems that accelerate discovery across the physical and life sciences. Our team turns unstru...
Co-Op, Electron Microscopy
Your Impact at LILALila Sciences is seeking a Co-Op, Electron Microscopy to join the Materials Science team within the Autonomous Science...
Co-Op, Finance
Your Impact at LILALila Sciences Finance is building AI into how the function works, not as a side experiment but as an embedded capabili...