As authors of the FLOWR and PILOT frameworks, we are expanding our group of machine learning research scientists to further advance the development and application of state-of-the-art generative models for both structure- and ligand-based drug design. In this role, you will design, implement, and validate novel machine learning tools that generate testable hypotheses and help accelerate the entire drug discovery continuum. * Design, develop, and validate state-of-the-art machine learning models, with a focus on generative AI and self-supervised learning * Apply modern generative frameworks (e.g., diffusion or flow-based approaches) to molecular design challenges * Collaborate with cross-functional experts in computational biology, chemistry, and medicine design
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