Takeda is looking to accelerate pharmaceutical R&D by designing, building, and supporting cutting-edge AI/ML solutions, including Large Language Models (LLMs) and agentic AI, to drive discoveries, optimize decision-making, and streamline clinical and real-world evidence analysis.
Requirements
- 8+ years of industry experience in architecting, building, launching, and maintaining end-to-end ML systems from whiteboard to production at scale across a range of models and platforms, such as: Hands-on coding experience with LLMs and agentic AI frameworks.
- Experience with AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (AWS, Azure, GCP), and scientific data integration.
- Experience with ML Ops concepts related to testing, retraining, and monitoring models in production.
- Experience in configuring and working in different coding environments (local, notebooks, containers) and using standard software engineering workflows (testing, code management/Git, CI/CD).
- Experience recognizing and communicating the implications of emerging technologies.
Responsibilities
- Architect and develop AI/ML-driven software for R&D, including large language model services and multiagent orchestration to solve R&D challenges (e.g. knowledge extraction, medical writing, drug design, clinical trial optimization, etc. ).
- Define and document the end-to-end technical architecture for new and existing software applications, including system components, services, and integrations.
- Develop and maintain the long-term technical roadmap, ensuring it aligns with business goals and industry best practices.
- Lead the design of robust, scalable, and secure solutions that meet both functional and non-functional requirements.
- Evaluate and select appropriate technologies, frameworks, languages, and tools for new projects. Validate new architectural approaches and technologies. Drive rigorous build-vs-buy analyses, recommending when to leverage partner ecosystem solutions
- Establish and enforce architectural standards, coding best practices, and design patterns across the R&D organization. Champion and drive the adoption of modern architectural paradigms such as microservices, event-driven architecture, and serverless computing.
- Provide technical leadership and guidance to multiple agile development teams.
Other
- A strong curiosity for a deeper understanding of human health and disease to deliver innovative medicine for patients is a must.
- A track record of partnering cross-functionally with a wide range of stakeholders and cross-functional teams to develop and deploy novel data solutions in production environments.
- Demonstrated passion for making complex technology more accessible and the ability to communicate complex technical topics simply and convincingly to a wide range of audiences.
- Demonstrated ability in translating big picture business and product ideas into micro use cases and has a strong focus on solving core problems to deliver straightforward, effectives solutions.
- Excellent communication, prioritization, and interpersonal skills, with a high level of attention to detail.
