AI Cheminformatics Engineer I

About the role

AI engineering role applying multimodal and generative models, GNNs, agents, and RAG to covalent drug discovery; asks for Python, quantitative training, and relevant industry experience.

Requirements

• Quantitative bachelor's plus 2–3 years of relevant industry experience, or PhD plus at least 1 year relevant industry experience
• Python programming
• Experience designing AI approaches for drug discovery or computational chemistry
• Experience with multimodal molecular or protein data, generative models, GNNs, or distributed training
• Legally authorized to work in the United States

What you'll do

• Build multimodal AI models for molecular and assay data
• Develop agent systems for scientific workflows
• Create molecular design and prediction methods
• Build multimodal RAG pipelines
• Train models for property prediction, virtual screening, and SAR
• Deploy models to research-serving infrastructure

Where this was posted

• LinkedIn

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