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.
Requirements
- 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).
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.
Other
- 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
- 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.
