Digital Lead, Clinical Analytics

Make your mark for patients

We are looking for a Digital Technology Lead, Clinical Analytics to join our Digital Technology – Clinical Patient Evidence team based out of Raleigh, NC (hybrid)

About the role 

This pivotal role centers on leveraging advanced analytics and business intelligence to drive data-informed decision-making across Clinical Operations (GCSO) and digital technology initiatives. The position is responsible for designing and implementing robust analytics strategies that support the full spectrum of clinical trial activities, from planning to execution and optimization.

The ideal candidate will bring deep expertise in data architecture, data engineering, and analytics platforms, combined with strong knowledge of clinical trial systems (e.g., EDC, CDB, external data). The role will champion modern data ecosystems and the adoption of AI, GenAI, and advanced analytics, ensuring that foundational data capabilities are in place to scale these innovations safely and effectively.  

Who you’ll work with

This individual will work in close partnership with stakeholders throughout the clinical development and clinical study operations journey, the role identifies opportunities to harness data, uncovers actionable insights, and translates complex analytics into innovative, scalable business solutions.

What you’ll do

• Develop and execute the roadmap for clinical analytics, ensuring alignment with organizational goals, initiatives and industry best practices.
• Oversee the planning, implementation, and lifecycle management of clinical analytics projects and platforms.
• Ensure successful integration of digital solutions with internal and external systems, including CROs, labs, and regulatory partners.
• Build and govern AI-ready data pipelines, ensuring: Structured & unstructured data are usable for ML/ GenAI use cases as well as Metadata and context are preserved for model interpretability.
• Partner with AI/ Analytics teams to enable: Risk-based monitoring, protocol optimization, trial performance predicition. Ensure ethical, compliant, and bias-aware data usage for AI initiatives  
• Assume the role of a system owner (ITSO) for designated projects, ensuring end-to-end responsibility for the success of IT implementations, including computerized system validation activities.
• Partner with clinical operations, Clinical Data Management, and various Digital Tech teams to define requirements and deliver scalable, user-centric solutions.
• Act as the primary liaison between business stakeholders and technology partners (internal/external).
• Demonstrate a broad understanding of internal and external data flows, processes in UCB and Drug Development, and act as a business champion for data as a corporate asset and the digitalization process.
• Ensure all digital solutions comply with GxP, GDPR, and other relevant regulatory standards.
• Oversee validation, documentation, and audit readiness of clinical analytics platforms.
• Drive continuous improvement initiatives, leveraging emerging technologies such as AI, automation, and advanced analytics.
• Foster a culture of innovation, encouraging the adoption of new tools and methodologies to enhance clinical trial efficiency.
• Manage relationships with technology vendors, ensuring service quality, cost-effectiveness, and alignment with business needs.

Interested? For this role we’re looking for the following education, experience and skills

Required:

• Bachelors degree in computer sciences or related field
• 5+ years of experience in an Information Technology environment required with 3 years of experience in the pharmaceutical industry
• Ability to use analytical environments like PowerBI, Spotfire, Qlik to discover insights

Preferred:

• Experience with key technology services providers and best practices of the industry.
• Experience in business and IT process outsourcing and external partner collaboration.
• Experience in system integration
• Experience in process assessment, analysis, modelling, improvement and automation methodology.
• Experience in system validation in the pharmaceuti