仕事内容 | Please note this job requires business level Japanese in speaking, writing, and reading.
【OBJECTIVES/PURPOSE】
・Work as part of a multi-disciplinary team of computational chemists, medicinal chemists, structural biologists, data scientists, pharmacologists 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】
Principal Scientist
・Independently design and execute computational strategies for drug discovery projects
・Contribute as a key scientific expert within one or more project teams
・Develop and apply innovative computational methodologies to solve project challenges
・Influence project decisions through data-driven insights
・Mentor junior scientists and contribute to scientific excellence
Associate Director
・Provide scientific and strategic leadership across multiple drug discovery projects
・Shape computational chemistry strategies and influence portfolio-level decisions
・Drive adoption of emerging technologies (e.g., AI/ML, generative chemistry) across projects
・Act as a thought leader to project teams and senior stakeholders
・Influence cross-functional teams without direct line management authority
・Mentor and elevate scientific capabilities across the organization
【DIMENSIONS AND ASPECTS】
Technical/Functional (Line) Expertise
・Expertise in a variety of computational tools and methodology including generative chemistry, large-scale virtual screening, molecular dynamics, homology modeling, quantum mechanics, pharmacophore elucidation, data mining, machine learning, cheminformatics and more.
・Significant industry experiences contributing as a computational chemist on drug discovery projects against several therapeutic arias and a variety of drug discovery targets (GPCRs, Kinases, Ion channel etc.).
・Strong impact in progressing discovery projects from hits to clinical leads
・Familiarity with organic and synthetic chemistry concepts.
・Provide project teams with computational strategies to inform, influence, and prioritize 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.
Leadership
・Scientific leadership within project teams
・Mentors junior scientists
・Contributes to method development and innovation
・Influences direction across teams and functions
・Drives innovation and capability building at scale
Interaction
・Collaborate with cross-functional global teams
・Present findings to internal stakeholders
・Engage with senior leadership and external partners as needed
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