Role Summary
BeOne Medicines' Advanced Analytics team is seeking an Associate Director, AI Innovation to drive the integration and enablement of AI-driven platforms, leveraging Retrieval-Augmented Generation (RAG) models and agentic AI approaches to synthesize large datasets and generate actionable insights. This role supports data-driven decision-making across Commercial, Medical, and cross-functional teams in the US, EU, and Canada, ultimately improving patient outcomes and business growth. You will translate complex data into clear, actionable insights and guide AI-driven initiatives as part of a collaborative team.
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 BeOneβs AI capabilities.
- Present insights and AI-driven recommendations to senior leadership, ensuring strategic alignment and impact.
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.
Education
- Master's or PhD in AI, Data Science, Computer Science, Engineering, Statistics, or a related field.
Additional Requirements
- Supervisory Responsibilities: Yes
- Travel: 15-20%