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Lila Sciences

AI-powered scientific discovery for medicines

Staff / Principal Automated Systems Engineer

Controls & Automation EngineeringConfirmed live in the last 24 hours
Full-timeCambridge, MA, USAIn-person

About the Job

Requirements

  • A bachelor's or advanced degree in Materials Science, Chemistry, Engineering, or a related field is required.
  • Strong hands-on experience developing and scaling automated workflows in laboratory or industrial settings is required.
  • Understanding of Python programming, including API integration and error handling, is required.
  • Understanding of computer-aided design and rapid prototyping, including 3D printing, is required.
  • Hands-on experience with hardware systems, including electrical wiring, sensors, liquid and gas plumbing, and proportional-integral-derivative controllers, is required.
  • Familiarity with advanced experimental systems, including vacuum, laser, furnace, and electrochemical experimentation, is required.
  • Knowledge of machine vision applications and robotics control algorithms is required.
  • The ability to integrate hardware and controls systems with automation workflows is required.
  • Understanding of artificial intelligence-driven decision-making in research automation is required.
  • Prior experience leading technical teams in a fast-paced research and development environment is required.

Responsibilities

  • Contribute hands-on to development, testing, and implementation of automated workflows in the laboratory.
  • Develop scalable automated solutions for synthesis and characterization workflows, supporting porous materials, catalysts, coatings, and advanced composites.
  • Define and document standardized laboratory workflows, operating procedures, and system architectures to support reproducibility and scale.
  • Lead and participate in equipment- and system-level failure mode and effects analyses to improve robustness and operational safety.
  • Troubleshoot and optimize automated systems for throughput, reliability, and adaptability across diverse workflows.
  • Design failure detection methods and maintain laboratory automation systems to ensure robust operations.
  • Translate scientific objectives into well-scoped technical requirements and automation architectures.
  • Coordinate between science, hardware, controls, and software teams to clarify interfaces and ensure cohesive solutions.
  • Explore and integrate emerging technologies, including machine vision and advanced sensors, to enhance automation capabilities.
  • Ensure automation solutions align with safety, quality, and regulatory standards.

Desired Qualifications

  • Access to advanced technology in AI experimental design and simulation, automated custom instrumentation, and generative molecular and material design is described as a bonus.

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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