Principal Data Innovation Specialist (RWD)
Core
Identify, prototype, and scale novel AI methods and technologies to transform data usage across pharmaceutical product development, focusing on multi-agent systems and knowledge graphs.
Role type
Principal Data Innovation Specialist (Real-World Data)
Builds
Scalable data pipelines, low-/no-code analytics platforms, and proof-of-concept AI/agent architectures for clinical and operational data.
Domain
Biopharmaceuticals / Real-World Data (RWD) / AI & Multi-Agent Systems
Deliverable
production ML models | product features | research
Required skills
Multi-agent architecture design, data engineering for multi-modal/unstructured data, AI-driven analytics, innovation lifecycle frameworks (Lean Startup/Design Thinking), data governance compliance (HIPAA/GDPR), technical mentorship
Preferred skills
Real-world data or research informatics in biomedical settings, knowledge graphs, clinical AI
Technologies
Multi-agent frameworks, knowledge graphs, low-/no-code analytics platforms, APIs
Responsibilities
Prototype and validate advanced AI capabilities with a focus on multi-agent orchestration; design and optimize scalable data workflows integrating unconventional data sources; lead complex analytical projects on automated agent-driven workflows; partner with scientists and engineers to pilot data innovations; develop frameworks for the productization of experimental data approaches; mentor junior team members on cutting-edge data tools and agent architectures.
Seniority
Principal, hands-on IC with strategic mentorship
