Engineer I, Automation

Lila Sciences
Cambridge, MA USAPosted 26 March 2026

Tech Stack

Job Description

Your Impact at Lila Lila Sciences is seeking an Automation Engineer 1 to join our Integrated Automation Engineering Team. This opportunity designed to immerse you in the development and enhancement of our cutting-edge automated workcells. As an Engineer 1, you will play a critical role in identifying and resolving operational challenges while contributing to the innovation that drives our mission of scientific superintelligence. Your role will support cutting-edge automation in life science laboratories while expanding into material and physical sciences, supporting a wide range of applications including drug discovery, bioengineering, and advanced material characterization. This position will provide you with valuable hands-on experience in a dynamic and collaborative setting, helping you develop a diverse set of skills applicable to your future career in science and technology. What You'll Be Building Identify, categorize, and resolve issues related to automated Workcells. Troubleshoot software and electro-mechanical systems effectively, learning new technologies swiftly and documenting the processes for team knowledge sharing. Proactively identify potential failure points and lead initiatives to mitigate them. Develop automated processes or tools to help achieve Lila's goals. Collaborate on significant projects to gain practical experience and make a tangible impact, including projects focused on proactive issue identification, preventive maintenance, and AI integration into troubleshooting operations. What You’ll Need to Succeed Bachelor’s or advanced degree in Biology, Chemistry, Engineering, Material Science, or related fields. Certifications in automation or industrial engineering are advantageous. 1 year of industry automation experience, preferably in RD lab automation. Experience with an integrated scheduler such as Overlord, Cellario, and Green Button Go. Demonstrates curiosity and a strong hands-on approach to learning and problem-solving. Ability to rapidly learn and master a diverse array of technical subjects. Ability to work with cross functional teams of engineers to deliver innovative automation solutions in diverse scientific disciplines. Working knowledge of software principles. Demonstrated proficiency in mechanical and technical tasks, with hands-on experience with physical equipment and components. Strong problem-solving abilities and effective collaboration and communication skills. Adaptable and receptive to feedback, fostering growth and development in a dynamic work environment. Contributes positively to team dynamics, encouraging and enhancing the performance of peers. Bonus Points For Experience with predictive modeling and statistical analysis for issue identification. Familiarity with AI-based systems and integration into operational processes. Previous exposure to database design and flowchart development. About Lila 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. 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 Agenci ... (truncated, view full listing at source)
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