Materials Laboratory Scientist, Science
Google DeepMind · London, UK
CHECKED 1H AGO
Frontier labonsite
At a glance
Highlights
- Realize novel materials predicted by generative AI models in London lab.
- Scale lab throughput and build automated feedback loops for discovery.
- Validate synthesized materials across diverse metrology platforms.
Ideal candidate
Experimental materials scientist with PhD-level depth who thrives at the bench and in interdisciplinary teams, excited to bridge physical science with AI-driven discovery and automation.
Requirements
- PhD in Materials Science, Physics, Chemistry, Chemical Engineering or related discipline
- 2 years of experience with laboratory synthesis, preparation or characterization of materials
- Experience working in cross-functional interdisciplinary technical teams
- Experience troubleshooting and resolving technical or experimental bottlenecks
- Record of scientific publications, conference proceedings, patents or white papers
- Experience with high-throughput platforms, laboratory automation or robotic instrumentation
- Proficiency in programming in Python for data analysis, automation or instrument interfacing
- Foundational understanding of computational materials science or ML workflows
- Familiarity with LIMS, electronic lab notebooks or structured data pipelines
Lab profile
About Google DeepMind
Google's AI lab building frontier models like Gemini to advance science and general intelligence.
What they build
- Gemini
- Gemma
- AlphaFold
Known for
- Frontier foundation models and GenAI
- Large-scale training with JAX, PyTorch, TensorFlow
- Model evaluation and deployment expertise
- Responsible frontier AI research
Key facts
- Founded in 2010
- Headquartered in London, UK
- Part of Google (Alphabet)