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Principal Computational Scientist, Discovery Chemistry

Genentech · South San Francisco, California, United States

Full-time Posted 4 days ago

About this role

<h3>The Position</h3><p><b><b>The Opportunity</b></b></p><p><span>We are seeking an exceptional computational scientist to apply cutting-edge computational science, focussing on peptide therapeutic discovery. The ideal candidate will possess a unique blend of expertise in computational chemistry, including machine learning, to drive the advancement of our peptide hits to clinical candidates. This is a critical strategic role aimed at accelerating our discovery pipelines, optimizing our lead candidates, and unlocking the full potential of our experimental data.</span></p><p></p><p><b><span>Key Responsibilities</span></b></p><ul><li><p><span>Advanced Modeling & Prediction: Lead the development and implementation of advanced computational methods (structure-based, physics-based) for target and peptide modeling and optimization

Implement machine learning models to accurately predict critical peptide properties such as solubility, permeability, stability, immunogenicity, and potency.</span></p></li><li><p><span>Platform Development: Contribute to the design, development, and deployment of a unified computational platform for peptide therapeutic discovery. Spearhead the creation of complex workflows and pipelines to enable the selection, design, and optimization of peptide modalities.</span></p></li><li><p><span>AI/ML for Drug Discovery: In collaboration with our internal AI for Drug Discovery team, apply advanced AI/ML technologies, including protein-ligand co-folding, generative and active learning models, to drive progress in drug discovery with a focus on therapeutic peptide design.</span></p></li><li><p><span>Provide strategic direction and present scientific findings to internal and external stakeholders, including wet-lab scientists.</span></p></li><li><p><span>Data Infrastructure & Informatics: In collaboration with our Computational Sciences Center of Excellence, implement robust, scalable data infrastructure and automated pipelines for the efficient processing,

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