Lila Sciences is the worldâs 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.
Requirements
- ⼠5 years of hands-on experience in zeolitic material synthesis.
- Deep expertise in porous material characterization
- Experience in integrating analytical instruments into automated or modular experimentation platforms.
- Experience in high throughput synthesis and characterization techniques.
- Experience in powder x-ray diffraction technique and data analysis (indexing, and refinement).
- Proficiency in Python or other scripting languages for data analysis.
- Experience with self-driving lab platforms or closed-loop optimization systems.
Responsibilities
- Design & Commission: Design and validate systems for synthesis of zeolitic and other types of porous materials with the help of our automation engineering team.
- Integrate & Scale: Interface near real-time high throughput characterization tools with platforms to enable feedback-driven synthesis and formulation.
- Workflow Optimization: Integrate the synthesis platforms with robotics and software pipelines for automated high-throughput experimentation and data-rich workflows.
- Closed-Loop Execution: Collaborate with AI teams to run iterative experiments in real time, enabling fast optimization and discovery cycles.
- Collaboration & Documentation: Work with chemists, material scientists, engineers, and data scientists to document systems, share insights, and refine best practices in autonomous porous material chemistry.
Other
- Ph.D. or M.S. in Chemistry, Chemical Engineering, Material Science or a related field.
- Excellent troubleshooting, communication, and interdisciplinary collaboration skills; ability to both innovate and communicate cross-functionally across materials science domains.
- Knowledge of design-of-experiment (DoE) methods and Bayesian optimization.
- Experience contributing to scientific software tools or open-source automation frameworks.
- 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.
