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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.
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.
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:
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
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
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
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 , Production Sites (Osaka/ Yamaguchi , (Narita , Research Site (Kanagawa
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, TeleworkBenefits 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:
Fujisawa, Japan
Worker Type:
Employee
Worker Sub-Type:
Regular
Time Type:
Full time
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