Associate Director, AI Innovation

Role Summary

Associate Director, AI Innovation at BeOne Medicines. Drive the integration and enablement of AI-driven platforms, leveraging Retrieval-Augmented Generation (RAG) models and agentic AI to synthesize large datasets and generate actionable insights. Support data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada to improve patient outcomes and business growth.

Responsibilities

• 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 AI capabilities.
• Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.

Education

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

Qualifications

• PhD with 8+ years or Master's with 10+ years of experience in AI-driven analytics, machine learning, or data science applications.
• 8+ 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 AI-based insights.
• Advanced knowledge of ML algorithms (classification, regression, clustering, reinforcement learning, and anomaly detection).
• Hands-on experience with big data environments (Hadoop, Spark) and AI tools (Snowflake, Databricks, LangChain).
• Proficiency in Python, SQL, and cloud-based AI services (AWS, Azure, or GCP).
• Strong grasp of statistical methodologies, including Bayesian inference, A/B testing, and causal inference.

Skills

• Ability to translate complex AI insights into clear, strategic recommendations for business leaders.
• Strong influencing skills, collaborating effectively with Commercial, Medical, and cross-functional teams.
• Experience leading AI/analytics initiatives that drive measurable business impact.
• Excellent communication and storytelling skills, making AI-driven insights accessible and actionable for executives.

Travel

• 15-20%