Associate Director/Director, AI/ML Enablement - Research at Takeda Pharmaceutical Company Limited USA

Fujisawa, , Japan -

Full Time

Start Date

Immediate

Expiry Date

26 Mar, 26

Salary

0.0

Posted On

26 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Application, Computational Biology, Bioinformatics, Data Science, Machine Learning, Deep Learning, Multi-Omics Data Analysis, Predictive Modeling, Causal Inference, Workflow Automation, Mentoring, Collaboration, Communication, Research, Hypothesis Generation, Experiment Design

Industry

Pharmaceutical Manufacturing

Description

By clicking the “Apply” button, I understand that my employment application process with Takeda will commence and that the information I provide in my application will be processed in line with Takeda’s Privacy Notice and Terms of Use. I further attest that all information I submit in my employment application is true to the best of my knowledge. 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 Fujisawa, Japan Worker Type Employee Worker Sub-Type Regular Time Type Full time Takeda is an industry-leading, global pharmaceutical company with an unwavering dedication to putting patients at the center of everything we do. We live our values of Takeda-ism – Integrity, Fairness, Honesty, and Perseverance – and are united by our mission to strive towards Better Health and a Brighter Future for people worldwide through leading innovation in medicine. Here, everyone matters and you will be a vital contributor to our inspiring, bold mission. At Takeda, you will make an impact on people’s lives – including your own. Takeda is an equal opportunity employer. For applicants of U.S and Puerto Rico positions: Click here to learn about our commitment to Equal Employment Opportunity (EEO). If you are limited in the ability to use our job application tool, or otherwise require a reasonable accommodation for a disability please click here.

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Responsibilities

The role involves applying AI/ML methods to support drug discovery and mentoring local scientists in modern methodologies. Additionally, it includes evaluating and implementing AI frameworks to enhance research workflows.