Associate Director, AI Innovation

Bei Gene, Ltd. has proposed to change its name to BeOne Medicines Ltd. The new name is subject to shareholder approval and, once approved, use of the name will be phased in over 2025. There may be instances where “Bei Gene” or “BeOne” are used to describe the company during this transition period. BeOne continues to grow at a rapid pace with challenging and exciting opportunities for experienced professionals.

When considering candidates, we look for scientific and business professionals who are highly motivated, collaborative, and most importantly, share our passionate interest in fighting cancer.

General Descripion:

The Advanced Analytics team at BeOne Medicines is seeking an Associate Director, AI Innovation, to drive the integration and enablement of AI-driven platforms, with experience leveraging Retrieval-Augmented Generation (RAG) models and agentic AI approaches to synthesize vast datasets and generate actionable insights. This role is pivotal in enhancing data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada, ultimately supporting patient outcomes and business growth.

As a strategic thought partner, you will translate complex data into clear, actionable insights, enabling BeOne Medicines to optimize business performance, improve patient engagement, and accelerate innovation in the oncology space.

Our dynamic and collaborative team consists of data scientists, AI specialists, and analytics experts, all working to drive a culture of AI-driven insights and decision intelligence. We believe in fast iteration, open feedback, and constructive debate, ensuring we deliver high-impact solutions efficiently.

Join us in shaping the future of AI-driven insights at BeOne Medicines and making a tangible impact on global healthcare.

Essential Functions of the job:

• Lead the integration, enablement, and innovation of AI-driven platforms, incorporating RAG models and agentic AI to automate data synthesis and insight generation.
• Develop and implement Retrieval-Augmented Generation (RAG) pipelines to enable real-time, context-aware insights for decision support.
• Leverage agentic AI approaches to build autonomous AI agents that continuously optimize data-driven recommendations and adapt to changing business needs.
• Apply advanced AI techniques (e.g., NLP, deep learning, predictive analytics) to transform structured and unstructured data into business-critical insights.
• Develop AI-driven decision-support tools to optimize commercial strategy and enhance medical engagement.
• Collaborate cross-functionally with Commercial, Medical, and other key stakeholders to identify AI-driven opportunities and deploy AI solutions effectively.
• Evaluate and refine AI models for improved accuracy, efficiency, and business impact in decision-making processes.
• Design and implement scalable AI-driven analytics frameworks, enabling real-time data interpretation and scenario modeling.
• Conduct hypothesis-driven exploratory analyses, leveraging deep learning, NLP, and generative AI to uncover actionable insights.
• Stay at the forefront of AI innovation, continuously evaluating new methodologies, tools, and platforms to enhance Bei Gene’s AI capabilities.
• Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.

Education Required:

• Master's or PhD in AI, Data Science, Computer Science, Engineering, Statistics, or a related field.

Qualifications:

• PhD with 8 plus years or a Master's with 10 plus years of experience in AI-driven analytics, machine learning, or data science applications.
• 8 plus years of consulting or commercial pharmaceutical industry experience
• Hands-on experience with Retrieval-Augmented Generation (RAG) models, integrating AI models with enterprise knowledge bases for real-time insight generation.
• Experience working with vector databases (e.g., Pinecone, FAISS, Weaviate) for efficient similarity search and knowledge retrieval.
• Deep understanding of agentic AI approaches, developing AI agents that autonomously improve model outputs and adapt to evolving data needs.
• Expertise in NLP, deep learning, and machine learning for enhancing…