Data Innovation Specialist (RWD)

The Opportunity

The Data Innovation Specialist (RWD) helps identify, prototype, and scale novel methods and technologies that transform how data is used across product development. Reporting to the Data Innovation Head, you will explore emerging capabilities such as AI, semantic integration, and knowledge graphs to unlock new use cases for clinical, real-world, and operational data.

You will collaborate with scientists, engineers, product teams, and external partners to design proof-of-concepts, validate innovative solutions, and assess long-term feasibility. This role requires curiosity, strong technical grounding, and a mindset oriented toward experimentation and continuous learning.

Core Data Engineering

Support robust data engineering activities to design, optimize, and streamline data workflows, building scalable data pipelines that integrate unstructured, multi-modal, and unconventional data sources.

Multi-Agent & AI Development

Prototype, validate, and scale advanced AI capabilities, focusing heavily on multi-agent development and orchestration architectures to unlock complex use cases across product development.

Analytical Project

Support innovation activities and complex analytical projects focused on exploring novel data types, automated agent-driven workflows, and knowledge graph integrations in a multi-modal environment.

Cross-Functional Collaboration

Partner with scientists, engineers, and product teams to pilot data innovations, integrating advanced engineering pipelines and multi-agent frameworks into broader clinical development and data science workflows.

Platform & Tool Creation

Enable the development of low-/no-code analytics platforms to democratize multi-modal data access and establish frameworks for the scalable evaluation, productization, and reuse of experimental data approaches.

Subject Matter Expertise & Mentorship

Serve as an innovation methodology partner, guiding peers through new data modalities while mentoring junior team members on cutting-edge techniques, data tools, and agent architectures.

Compliance & Data Governance

Proactively identify innovation areas via research while ensuring all engineering and AI frameworks maintain absolute compliance with data privacy and security regulations like HIPAA and GDPR.