The AI Scientist will design, prototype, and advance next-generation AI systems for drug discovery and pharmaceutical research. This role focuses on exploring and applying emerging AI methodologies to accelerate scientific discovery, support data-driven decision-making, and improve R&D workflows across drug discovery programs.
The AI Scientist will contribute to the development of agentic AI systems, multi-agent workflows, and AI-driven scientific reasoning platforms that integrate advanced machine learning, large language models, and biomedical research applications. The role requires a strong balance of AI research understanding, hands-on prototyping ability, and engineering execution to rapidly evaluate new ideas and translate them into scalable, production-ready solutions.
Responsibilities include evaluating emerging AI techniques, reproducing and extending state-of-the-art research approaches, building experimental prototypes, and developing reusable AI system architectures that can support scientific exploration and therapeutic discovery. The AI Scientist will collaborate closely with cross-functional research and engineering teams to identify high-impact opportunities where AI can meaningfully improve discovery efficiency and insight generation. The ideal candidate is highly technical, deeply curious about frontier AI capabilities, and excited about applying advanced AI systems in real-world drug discovery environments.
**Candidates must be authorized to work in the United States without current or future employer sponsorship.
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