Novartis Postdoctoral Fellowship: Machine Learning for Chemical Synthesis and Reactivity Prediction
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@novartis
Summary
This is a job posting for the Novartis Biomedical Research Postdoctoral Fellowship Program, specifically seeking a postdoctoral fellow in Machine Learning for Chemical Synthesis and Reactivity Prediction. The fellow would join Global Discovery Chemistry in Basel, Switzerland, to develop next-generation ML approaches (graph neural networks, transformers, foundation models) for predicting chemical reaction outcomes, conditions, and molecular reactivity using large-scale reaction datasets. The role involves collaboration with medicinal chemists, computational chemists, and automation experts, with opportunities for high-impact publications and integration with generative AI workflows. The position is a full-time training role of up to three years, starting October 1, 2026, requiring a PhD in a relevant discipline and strong ML/programming skills.
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bskyNovartis Postdoctoral Fellowship: Machine Learning for Chemical Synthesis and Reactivity Predictionnovartis.comKey quotes
· 5 pulledWe are excited to invite applications for the Novartis Biomedical Research Postdoctoral Fellowship Program; a unique training opportunity designed for exceptional early-career scientists eager to tackle some of the most challenging problems in biomedical research and drug discovery.
This fellowship aims to develop next-generation machine learning approaches that predict chemical reaction outcomes, reaction conditions, and molecular reactivity using large-scale proprietary and public reaction datasets.
The research is expected to result in high-impact publications and contribute to accelerating the Design-Make-Test-Analyze cycle in active drug discovery projects.
We are entering a new era of biomedical research breakthroughs through the convergence of biology, technology, and artificial intelligence tools.
At Novartis, our purpose is to reimagine medicine to improve and extend people's lives.
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