Co-Op, Materials Science, Heterogeneous Catalysis

As a Co-Op in Materials Science, Heterogeneous Catalysis, you will join Lila's Materials Science team at our Alewife site to help build and run high-throughput workflows for catalyst synthesis, characterization, and performance testing.

You will work hands-on in the lab: preparing catalyst samples, running reactor tests, and analyzing the resulting data for trends in structure, composition, and catalytic performance. You will work alongside scientists, automation engineers, and data scientists, and you will see how experimental work connects to AI-guided materials discovery.

This is a practical, lab-based co-op suited to a graduate student who wants real ownership of experiments and exposure to automated, data-rich science.

• Synthesize heterogeneous catalysts and prepare samples for performance testing
• Run batch and flow reactor tests, measuring activity, selectivity, and stability
• Characterize materials using techniques such as XRD, BET, TGA, or chemisorption
• Analyze experimental data to identify structure and composition trends
• Support automated and high-throughput synthesis workflows with the engineering team
• Document protocols and results, and present findings to the team

• Currently enrolled in a Masters or PhD program in Chemistry, Chemical Engineering, Materials Science, or a related field
• Hands-on laboratory experience with materials synthesis or catalyst testing
• Working knowledge of common characterization techniques (XRD, BET, TGA, FTIR, or similar)
• Ability to handle chemicals safely and follow lab safety protocols
• Strong attention to detail in experimental execution and record keeping
• Clear written and verbal communication of experimental results

• Experience with batch or flow reactors, or gas sorption measurements
• Exposure to high-throughput experimentation or lab automation platforms
• Data analysis or scripting in Python, R, or MATLAB
• Coursework or research involving zeolites, MOFs, or other porous materials

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.

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.

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