Intern, Physical Sciences Team - Flow Chemistry presso Lila Sciences, Inc.
Lila Sciences, Inc. · Cambridge, Stati Uniti d'America · Onsite
- Ufficio in Cambridge
Spring 2026 Co-op/Internship Opportunity
We’re looking for motivated students to join our team starting in January/February 2026 for a spring co-op or internship. This is a great opportunity to gain hands-on experience, contribute to meaningful projects, and develop your skills in a fast-paced, collaborative environment. If you’re eager to learn and make an impact, we’d love to hear from you!
Company Summary
Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science. We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method. We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at www.lila.ai
If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, we encourage you to apply.
Your Impact at Lila
You will contribute to day-to-day operation of flow reactors, acquire high-quality analytical data, and collaborate with scientists and engineers to push the boundaries of autonomous chemistry. Your work will feed directly into closed-loop optimization campaigns that shorten the path from idea to discovery.
What You'll Be Building
- Execute Flow Syntheses:
- Operate flow reactors following established protocols; adjust parameters and collect samples - perform quick optimization cycles in parallel - analyze - interpret data - draw conclusions
- Inline & Offline Analytics:
- Acquire and interpret data from optical spectroscopy and chromatography, UV-Vis, ReactIR, Raman, NMR and LCMS instruments to monitor reaction progress and product quality.
- Data Management:
- Digital log of experimental conditions, metadata, and results to ensure data integrity for AI-driven analysis.
- Process Optimization Support:
- Work with scientists to analyze trends, propose optimization cycles, and validate model-suggested conditions in real time
- Cross-Functional Collaboration:
- Interface with automation and mechanical engineers, AI scientists; communicate findings clearly in meetings and written summaries
- Safety & Maintenance:
- Follow EHS best practices for handling reagents, maintaining flow equipment, and calibrating analytical instruments
What You’ll Need to Succeed
- Currently pursuing or recently completed a B.S. or M.S. in Chemical Engineering, Chemistry, Materials Science, or a related discipline
- Coursework or lab experience in organic synthesis, electrochemistry, photochemistry, or microfluidics
- Familiarity with analytical techniques such as UV-Vis, UPLC, NMR, Raman, ReactIR/Raman, or optical spectroscopy
- Comfort working in wet-lab environments and following detailed SOPs.
- Basic proficiency in Python or another scripting language for data handling is a plus
- Strong observational skills, attention to detail, and willingness to ask questions and learn
- Effective written and verbal communication; ability to work in a fast-paced, multidisciplinary team
Bonus Points For
- Experience with flow reactor build and design, robotics, LabVIEW/other automation platforms
- Expertise in use and troubleshooting of analytical equiments
- Knowledge of multivariate data analysis, or machine-learning-guided experimentation
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.
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.