Co-op / Intern, Heterogenous Catalysis and Sorbents jobs in United States
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Lila Sciences · 1 day ago

Co-op / Intern, Heterogenous Catalysis and Sorbents

Lila Sciences is pioneering a new age of boundless discovery in life sciences, chemistry, and materials science. As a PhD Co-op in Catalysis and Porous Materials, you will explore next-generation materials and contribute to designing automated workflows that couple material discovery with machine learning.

Artificial Intelligence (AI)Foundational AILife ScienceSoftware
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H1B Sponsor Likelynote

Responsibilities

Design and execute experiments to investigate heterogeneous catalytic and sorption processes
Synthesize and characterize MOFs, zeolites, and other porous materials using techniques such as PXRD, BET, TGA, and SEM
Analyze experimental data and contribute to hypotheses and structure-property relationship models
Collaborate with automation and ML teams to integrate high-throughput screening workflows
Operate or support high-throughput platforms such as Chemspeed, Opentrons, or Unchained Labs systems for automated synthesis
Document protocols, maintain accurate lab records, and present findings to technical stakeholders

Qualification

Heterogeneous catalystsMOFs synthesisMaterials characterizationData analysisMachine learningHigh-throughput experimentationPythonAnalytical skillsCommunication skillsTeamwork skills

Required

Current PhD student in Chemistry, Chemical Engineering, Materials Science, or related field
Experience with heterogeneous catalysts, MOFs, or porous materials synthesis
Proficiency with materials synthesis and characterization (e.g., PXRD, BET, SEM, TGA, FTIR)
Strong analytical skills and attention to detail in experimental design and data interpretation
Excellent communication and teamwork skills

Preferred

Experience with gas sorption, breakthrough experiments, or dynamic adsorption studies
Familiarity with flow reactors or automated material testing setups
Exposure to high-throughput experimentation and lab automation platforms
Programming or data analysis skills (e.g., Python, MATLAB, JMP)
Interest in machine learning approaches to materials optimization

Company

Lila Sciences

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Lila Sciences creates a scientific superintelligence platform and autonomous labs for life sciences, chemistry, and materials science. It is a sub-organization of Flagship Pioneering.

H1B Sponsorship

Lila Sciences has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)

Funding

Current Stage
Growth Stage
Total Funding
$550.67M
Key Investors
ARIANVenturesFlagship Pioneering
2026-01-20Grant· $0.67M
2025-10-14Series A· $115M
2025-09-14Series A· $235M
Company data provided by crunchbase