Associate Director, Computational Chemistry, Research

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Job Description

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

• Demonstrate expert understanding of computational chemistry principles and their application within a multidisciplinary drug discovery environment.
• Build and develop a strong team of Computational Chemists to high productivity levels.
• 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.

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

• Identifies, plans and executes novel scientific projects and lead platform initiatives.
• Enables information sharing, helps groups to understand each other and brings them together.
• Accurately identifies strengths and development needs in others and invests time to help enhance their skills.

Interaction

• Conducts scientific presentations to internal and external audiences
• Collaborate with cross functional scientists and across geographic areas.

EDUCATION, BEHAVIORAL COMPETENCIES AND SKILLS:

• PhD degree in Chemistry or equivalent
• Expected: Ideally, 7+ years of experience in industry (pharma/biotech) drug discovery experience.

Takeda Compensation and Benefits Summary:

• Allowances: Commutation, Housing, Overtime Work etc.

• Salary Increase: Annually, Bonus Payment: Twice a year

• Working Hours: Headquarters (Osaka/ Tokyo) 9:00-17:30, Production Sites (Osaka/ Yamaguchi) 8:00-16:45, (Narita) 8:30-17:15, Research Site (Kanagawa) 9:00-17:45

• Holidays: Saturdays, Sundays, National Holidays, May Day, Year-End Holidays etc. (approx. 123 days in a year)

• Paid Leaves: Annual Paid Leave, Special Paid Leave, Sick Leave, Family Support Leave, Maternity Leave, Childcare Leave, Family Nursing Leave.

• Flexible Work Styles: Flextime, Telework

• Benefits: Social Insurance, Retirement and Corporate Pension, Employee Stock Ownership Program, etc.

Important Notice concerning working conditions:

• It is possible the job scope may change at the company’s discretion.

• It is possible the department and workplace may change at the company’s discretion.

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