Co-Op, Materials Science, Heterogeneous Catalysis

Lila Sciences, Inc.; Cambridge (MA); Vor Ort; USD 28.000 - 41.000; Vollzeit

Zusammenfassung

Lila Sciences, Inc. in Cambridge, MA is seeking a Co-Op in Materials Science, Heterogeneous Catalysis to join the Alewife site and 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 data to identify trends in structure, composition, and catalytic performance. This co-op offers real ownership and exposure to automated, data-rich science.

Qualifikationen

• Currently enrolled in a Masters or PhD program in Chemistry, Chemical Engineering, Materials Science, or a related field.
• Hands-on lab experience with materials synthesis or catalyst testing.
• Working knowledge of 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.

Aufgaben

• 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.

Kenntnisse

Lab experience

HT workflows

Data analysis

Attention to detail

Communication

Ausbildung

Masters or PhD candidate

Tools

XRD

BET

TGA

FTIR

Jobbeschreibung

Cambridge, MA USA

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.

What You'll Be Building

• 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

What You'll Need to Succeed

• 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

Bonus Points For

• 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

About LILA

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 iscommitted to equal employment opportunityregardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

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