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Research Scientist II/Senior, Computational Chemistry

Iambic Therapeutics·Worldwide·San Diego HQ·senior
ml
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JOB SUMMARY We are seeking a skilled and highly motivated Computational Chemist to join our Computational Sciences group at Iambic Therapeutics. You will be a key player in the application of advanced ligand and structure-based techniques to drive our drug discovery efforts. You will play an active role in the research teams pursuing important therapeutics across multiple indications. You will work in a cross-functional team, collaborating closely with machine learning scientists, medicinal chemists and biologists to apply cutting edge SBDD methods across hit identification, lead optimization, and candidate selection phases. This is a hands-on role, requiring technical expertise in computational chemistry, experience with or strong interest in applying modern co-folding approaches, familiarity with the drug discovery process and a proactive drug-hunter mindset. This role will involve engagement in external partnerships. This position will be based in our San Diego Headquarters, with exceptions for outstanding candidates to work remotely. KEY RESPONSIBILITIES - Apply a range of ligand and structure-based approaches across hit identification, hit to lead and lead optimization phases (e.g. cheminformatics, pharmacophore modeling, docking and shape-based based virtual screening, de novo molecular design, MD simulation) - Guide design cycles through the identification of structure-activity relationships and the integration of computational predictions with bioactivity data - Partner with medicinal chemists to design, evaluate and prioritize virtual libraries, and propose actionable molecular designs - Partner with ML scientists to integrate SBDD methods with our proprietary transformer-based property prediction technology (Enchant) - Leverage and evolve our proprietary protein-ligand co-folding technology (NeuralPLexer) to yield novel and actionable structural hypotheses - Translate scientific questions into computational workflows and deliver actionable results - Presen

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