We are seeking an experienced AI Data Scientist II to join our innovative FAiM Team at AbbVie Pharmaceuticals. This position is an opportunity to join a team and work at the intersection of artificial intelligence, clinical trial design, and application development within the Global Therapeutics space at AbbVie. In this role, you will leverage cutting-edge AI technologies to transform our clinical data operations and drive pharmaceutical innovation. The ideal candidate will combine strong technical expertise and development leadership with clinical science knowledge to create solutions that accelerate drug discovery and improve patient outcomes. 

This role will work collaboratively with technology and business groups to perform analyses and implement technologies to deliver precise, reliable, and reproducible solutions in a timely manner as a developer and data scientist. Communication skills are key to being able to interface with technical and non-technical stakeholders.   

Responsibilities 

• Design, develop, and deploy AI-driven solutions to solve complex clinical and pharmaceutical challenges. 

• Develop and maintain backend systems using Python FastAPI for robust data processing pipelines. 

• Implement agentic workflow using MCP tools and an agentic orchestrator such as LangGraph. 

• Applicant must have experience with Claude Code, MCP servers, and Github for coding. 

• Collaborate with cross-functional teams including clinical scientists, IT, and business stakeholders to include technical timelines and planning.  

• Lead multiple concurrent projects while maintaining exceptional quality standards.

• Translate complex technical concepts into accessible insights for non-technical stakeholders.

• Build and maintain relationships with internal teams and external vendors to stay informed on AI trends and best practices.  

• Independently design and develop business technology solutions to answer scientific or business questions through integration, visualization, and analysis of data.  

• Demonstrate proficiency across a range of technologies related to storage, transfer, integration, visualization, and analysis of large and complex data sets. 

• Demonstrate knowledge of the pharmaceutical and healthcare business, and utilize this knowledge in the rapid advancement of agile, impactful, and cost-effective solutions. 

• Effectively organize and present project objectives and progress. Contribute to technical publications and presentations.