Associate Director/Director, AI/ML Enablement - Research
Location: Fujisawa, Kanagawa, Japan
Employment Type: Full time
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Job Description
Position Overview
We are seeking a hands-on, collaborative AI/ML leader to accelerate the adoption and application of AI/ML capabilities at Takeda's Japan research site. This role has two primary mandates:
- Enable AI/ML application to support target identification, validation, and mechanistic understanding across discovery programs
- Build local AI/ML capabilities by mentoring computational biologists and bioinformaticians in modern methods and agentic frameworks
You will be a key partner within the research organization, working closely with discovery scientists and a global team of computational, AI, and data scientists to translate cutting-edge AI/ML approaches into practical tools that advance research programs. You will ensure the site can effectively leverage enterprise AI/ML platforms while adapting solutions to local scientific priorities. This role requires a leader who can bridge technical depth with scientific application, understanding both the capabilities of modern AI/ML and the realities of drug discovery workflows.
Key Responsibilities
1. AI/ML Application to Research & Discovery
- Partner with computational biologists, bioinformaticians, and experimental scientists to apply AI/ML methods supporting target identification, validation, and mechanistic understanding
- Drive adoption of modern AI/ML approaches (representation learning, predictive modeling, causal inference) across multi-omics, imaging, clinical, and real-world data
- Provide hands-on technical guidance across programs: recommend appropriate methods, support implementation, and review outputs for scientific rigor
- Partner with research project leaders to identify high-value opportunities for AI/ML application and prioritize efforts
2. Agentic Frameworks & Workflow Automation
- Evaluate, implement, and operationalize agentic AI frameworks (e.g., LLM-based research agents, automated literature mining, hypothesis generation pipelines) to accelerate discovery workflows
- Design and deploy automated workflows that chain tools, data sources, and models to streamline hypothesis generation, experiment design, and data analysis
- Establish best practices and governance for responsible, reproducible AI use in research applications
3. Site Partnership & Global Alignment
- Act as key AI/ML liaison between the Japan site and global R&D computational functions; ensure alignment with enterprise AI strategy
- Represent site needs in global project teams and governance forums
- Communicate complex AI/ML concepts clearly to diverse scientific and non-technical stakeholders
4. Capability Building & Culture
- Mentor and upskill computational biologists and bioinformaticians in AI/ML methodologies and tool adoption
- Stay current with cutting-edge AI/ML and discovery technologies; translate external innovation into practical applications
- Champion new ways of working powered by digital, automation, and AI tools
Qualifications
Required:
- Expected: PhD in Computational Biology, Bioinformatics, Data Science, Computer Science, or related quantitative discipline with 8+ years (AD) / 12+ years (Director) relevant experience
- Proven track record of applying AI/ML methods to drug discovery or life sciences research
- Hands-on proficiency with ML/DL frameworks (PyTorch, TensorFlow) and cloud-based compute environments
- Experience with multi-omics data analysis and integration
- Demonstrated ability to translate complex computational concepts for diverse scientific audiences
- Effective collaboration skills in matrixed, global environments
Preferred:
- Familiarity with therapeutic area disease biology relevant to site priorities
- Working knowledge of LLMs, agentic architectures, and workflow orchestration tools
- Experience mentoring scientists with varying computational backgrounds
- Japanese language proficiency; cross-cultural collaboration experience
Additional Information
- The position will be based in Shonan, Japan
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.
Locations
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