Job Description At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. By focusing R&D efforts on three therapeutic areas and other targeted investments, we push the boundaries of what is possible to bring life-changing therapies to patients worldwide. Objective / Purpose: Work as part of a multi-disciplinary team of medicinal chemists, structural biologists, data scientists and biologists and provide computational expertise to advance drug discovery projects Contribute to drug discovery efforts across various modalities including small molecules, PROTACs, RNA inhibitors, peptides, and more Implement and execute innovative computational methodologies and tools such as AI, free energy, and cheminformatics approaches to support drug discovery efforts Accountabilities: Demonstrate an understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment. Independently design, develop and execute research assignments, contributing to multiple projects Identify, develop, validate, and implement innovative computational approaches that enhance research productivity and success Provide key technical knowledge and input to project teams to drive decision-making in drug discovery projects Technical/Functional (Line) Expertise: Experience with a variety of computational tools and methodology including large-scale virtual screening, ligand ability analyses, homology modeling, quantum mechanics, pharmacophore elucidation, machine learning and more against common drug discovery targets (GPCRs, Kinases etc.) Comprehensive experience in data mining and data analysis. Familiarity with organic and synthetic chemistry concepts Demonstrated ability to provide project teams with computational strategies to inform, influence, and prioritize designs for potency/selectivity and improve ADME/Tox endpoints Experience developing and deploying design and/or AI platforms to impact drug discovery Familiarity with standard computational chemistry software including Schrodinger Suites, KNIME, and more Proficiency in scientific scripting and programming languages including python Experience with operations in Linux and/or cloud environments Leadership: Identifies, plans and executes novel scientific projects and lead platform initiatives. Decision-making and Autonomy: Independently manages workload and expectations Scientifically independent Influence decision making within the department Lead a computational chemistry initiative such as holo structure prediction, ligandability analyses, and large-scale virtual screening workflows Interaction: Conducts scientific presentations to internal audiences Collaborate with cross functional scientists and across geographic areas Innovation: Maintain an interest in cutting-edge science and act proactively to acquire technologies that match the needs of the team Receives high level instructions on all work, determines methods on new assignments, works closely with manager
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