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Specialized agentic-AI plus medicinal chemistry narrows talent pool, but metro location and reputable employer increase competition.
Highly domain-specific combination of medicinal chemistry and agentic AI limits cross-industry transferability.
Requires advanced chemistry background, Master's degree, and AI/cheminformatics experience, so filters are moderately strict.
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Develop and implement AI-enabled workflows to accelerate molecule design, data interpretation, and decision-making in discovery chemistry.
Collaborate cross-functionally with chemists, computational scientists, and automation teams to identify and apply agentic AI solutions.
Evaluate AI outputs for scientific validity and support adoption of AI tools while ensuring data integrity and scientific rigor.
Master’s degree in Chemistry or a closely related scientific field (e.g., Medicinal Chemistry, Pharmaceutical Sciences, Computational Chemistry).
Strong knowledge in small-molecule discovery, organic synthesis, medicinal chemistry, or analytical chemistry.
Experience working with scientific data such as chemical structures, reaction data, or assay results.
Work Experience Required: Preferred 5–9 years in pharmaceutical R&D, biotechnology, CRO, or related industry research.
Experience applying AI/ML tools, generative AI, or agentic workflows in a scientific research setting, especially in discovery chemistry.
Strong interdisciplinary collaboration skills bridging chemistry, computational science, and data science domains.
Comfortable evaluating and integrating computational and experimental results to refine research workflows and tools.