AI-Driven Materials Scientist — Lab Automation

Google; Greater London; On-site; GBP 70,000 - 110,000; Full time

Job summary

Google is seeking an experimental Materials Laboratory Scientist to join our London team. You will drive experimental realization, processing, and characterization of novel materials predicted by generative AI models, bridging traditional physical sciences with data-driven research.

You will collaborate with AI researchers, software engineers, and automation experts to scale throughput, build automated feedback loops, and accelerate materials discovery while maintaining rigorous data hygiene in

Qualifications

• PhD in Materials Science, Physics, Chemistry, Chemical Engineering, or a related science discipline, or equivalent practical.
• 2 years of experience with laboratory synthesis, preparation, or characterization of materials.
• Experience working in cross-functional or interdisciplinary technical/scientific teams.
• Experience troubleshooting, root-cause diagnosing, and resolving bottlenecks in a scientific lab environment.
• Publications, conference proceedings, patents, or technical white papers in Materials Science, Physics, or related fields.

Responsibilities

• Conduct structural, compositional, and physical property characterization across metrology platforms to validate synthesized materials.
• Provide systematic experimental feedback and guide active learning pipelines with computational/ML researchers.
• Translate benchtop protocols into high-throughput automated workflows with automation engineers.
• Execute experimental synthesis and processing across inorganic, solid-state, thin-film, or other chemical routes to realize target materials candidates.
• Maintain thorough data hygiene, capturing experimental telemetry and protocols within ELN/LIMS for ML datasets.

Skills

Materials synthesis

Characterization techniques

Interdisciplinary collaboration

Lab troubleshooting

Scientific publications

Education

PhD in Materials Science/Physics/Chemistry/Engineering

Tools

LIMS/ELN

High-throughput platforms

Python for data analysis

Job description

Google is seeking an experimental Materials Laboratory Scientist to join our London team. You will drive experimental realization, processing, and characterization of novel materials predicted by generative AI models, bridging traditional physical sciences with data-driven research.

You will collaborate with AI researchers, software engineers, and automation experts to scale throughput, build automated feedback loops, and accelerate materials discovery while maintaining rigorous data hygiene in