Research (Scientific) Associate Director, Computational Chemistry

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: As a Computational Chemistry Leader, you will work as part of a multi-disciplinary team of Medicinal Chemists, Computational Chemists, Data Scientist, Structural Biologists, Pharmacologists and Biologists to provide Computational expertise to advance drug discovery projects Contribute to drug discovery efforts across various modalities including small molecules, bifunctional degraders, peptides, RNA/oligonucleotides, and biologics Implement and execute innovative computational methodologies and tools such as AI approaches to support drug discovery efforts Accountabilities: Demonstrate expert understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment Identify, develop, validate, and implement innovative computational approaches that improve research productivity and success Provide crucial technical knowledge and input to project teams to drive decision-making in drug discovery projects Build and develop a strong team of Computational Chemists to high productivity levels Demonstrate leadership and enterprise thinking in managing multi-disciplinary team DIMENSIONS AND ASPECTS: Expertise in a variety of computational tools and methodologies including docking, virtual screening, molecular dynamics, free energy perturbation, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics, clustering, similarity & diversity analysis Significant Industry experience contributing as Computational Chemist on drug discovery projects Strong Impact in progressing Discovery Projects from Hits to Clinical Leads Extensive knowledge & experience in using a variety of tools for Hit ID Provide project teams with computational strategies to inform, influence, and prioritize compound designs for potency/selectivity and improve ADME/Tox endpoints Ability to effectively integrate emerging generative chemistry methods and other modern machine learning and artificial intelligence (AI) applications in small molecule drug discovery Proficiency with state-of-the-art Computational Chemistry software Network with renowned researchers in computational chemistry/AI EDUCATION, BEHAVIOURAL COMPETENCIES AND SKILLS: PhD degree in a relevant scientific discipline 6+ years of Industry (pharma/biotech) drug discovery experience required

At Takeda, we are a forward-looking, world-class R&D organization that unlocks innovation and delivers transformative therapies to patients.