Chemist, AI Safety & Computational Chemistry SME

Google LLC; New York, Mountain View (NY, CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google LLC is seeking a Chemist Subject Matter Expert for the CBRNE team within the Responsible Frontier AI Research group. You will evaluate and mitigate safety risks of frontier AI models in chemistry, applying CASP, docking, and data-driven toxicology approaches using Python (RDKit) and ML/physics-based methods.

The role focuses on safeguarding chemistry-focused AI tools and communicating results to stakeholders, with equity and a strong emphasis on safety and ethics across Google DeepMind

Qualifications

• PhD in synthetic or computational chemistry or equivalent experience.
• 2 years post-doctoral, industry, or defense experience with wet-lab bench work on multi-step syntheses.
• Experience in cheminformatics and Python-based data analysis (RDKit) for reaction and bioactivity/toxicity datasets.
• Experience with CASP, retrosynthesis tools, and 3D docking/pharmacophore modeling.
• Experience with Scientific AIs and applying LLMs to scientific problems.

Responsibilities

• Design, execute, and review computational chemical evaluations including automated synthesis planning and docking.
• Review model outputs for chemistry evaluations and assess metrics like accuracy.
• Recommend mitigations to ensure chemical safety while preserving legitimate science.
• Update harm frameworks and threat models using evaluation data.
• Communicate technical results to chemists and executives.

Skills

Python (RDKit)

Cheminformatics

Molecular docking

ML in chemistry

Education

PhD in synthetic or computational chemistry

Tools

CASP

Retrosynthesis tools

3D structure modeling

Job description

Google LLC is seeking a Chemist Subject Matter Expert for the CBRNE team within the Responsible Frontier AI Research group. You will evaluate and mitigate safety risks of frontier AI models in chemistry, applying CASP, docking, and data-driven toxicology approaches using Python (RDKit) and ML/physics-based methods.

The role focuses on safeguarding chemistry-focused AI tools and communicating results to stakeholders, with equity and a strong emphasis on safety and ethics across Google DeepMind