Research Scientist, Science AI, Google Research

What you'll do

• Design, build, and evaluate agentic AI systems for scientific discovery, including reliable use of domain-specific tools, simulators, datasets, and models.
• Collaborate with scientists to identify impactful problems, validate agent-generated hypotheses, and connect predictions to discoveries.
• Set and lead a research agenda, publish research, and build scalable infrastructure for agent execution, orchestration, and evaluation.

What they ask for

• PhD in Computational Biology, Bioinformatics, Biophysics, Physics, Computer Science, or a related quantitative field, or equivalent practical experience.
• Experience developing autonomous agents, multi-agent workflows, or tool-using LLM systems.
• One or more first-author scientific publications in peer-reviewed journals or conferences.

Nice to have

• 2 years of experience leading a research agenda in computational biology, computational physics, or machine learning for science.
• Experience with ML models or LLM-based systems using JAX, PyTorch, or TensorFlow; coding in Python, C++, or a similar language; or designing scientific benchmarks and evaluations.

Pay

$147000 - $210000 USD base salary

Tools

JAX, PyTorch, TensorFlow, Python, C++

AI focus

Develops and evaluates agentic AI systems for scientific discovery, including tool-using LLM systems, scientific reasoning, and infrastructure for agent execution and evaluation.