Chemist, DeepMind

Job Title info_outline X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA. Minimum Qualifications: PhD in synthetic or computational chemistry, or equivalent practical experience. 2 years of post-doctoral, industry, or defense experience, including wet-lab bench experience designing, executing, and troubleshooting multi-step syntheses. Experience in cheminformatics and digital drug discovery tooling, specifically using Python (e.g., RDKit) to analyze reaction and bioactivity/toxicity datasets (e.g., QSAR), alongside ML (e.g., protein-ligand co-folding) or physics-based (e.g., FEP) binding affinity prediction. Experience with computer-aided synthesis planning (CASP), retrosynthesis tools, and 3D structure-based modeling, such as molecular docking and pharmacophore modeling. Experience working with Scientific AIs and applying LLMs to scientific problems. Preferred Qualifications: Experience with dual-use chemistry, the Chemical Weapons Convention (CWC) and Schedules, and other national and international chemical control treaties and documents. Understanding (without deep technical detail) of the training and operating principles of LLMs. Understanding (without deep technical detail) of the mitigation strategies applied to LLMs to prevent the proliferation of dual-use scientific information. Understanding of model evaluation methodologies for determining the frontier risks of modern AI models; see Google's FSF and similar documents at other AI labs. DeepMind