RVA Lead

At Roche, a healthier future drives us to innovate and continuously advance science so everyone has access to the healthcare they need today and for generations to come. This role sits within Early Development Biometrics (EDB), a core function of Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development. EDB partners across Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies, designing efficient trials, applying rigorous statistical methods, and implementing high-quality programming and analytical solutions to accelerate timelines, de-risk development, and increase probability of technical success. The function also encompasses Methods Collaboration & Outreach (MCO) for quantitative methodology consultation and capability building, and Visual Analytics for interactive dashboards that drive Medical Data Review (MDR) and safety signal detection aligned with Risk-Based Quality Management (RBQM) and Critical-to-Quality (CtQ) endpoints.

About the role

The Real-time Visual Analytics Lead drives the strategic direction, delivery excellence, and capability development of the Real-time Visual Analytics function within Early Development Biometrics. This role leads a team of Real-time Visual Analytics Specialists who create and manage interactive, study-level dashboards enabling high-quality Medical Data Review (MDR) and safety signal detection per RBQM principles and CtQ endpoints. The lead oversees portfolio-wide implementation of visualization strategy, ensuring timely, scalable, and scientifically aligned delivery across early-phase studies, while collaborating with biometrics leadership and clinical stakeholders to evolve standards, guide timelines, and optimize frameworks and tooling. Responsibility includes talent development, process harmonization, and fostering a high-performing team culture focused on user-centered visual analytics, scientific rigor, and operational efficiency.

Responsibilities

• Define and lead the visual analytics strategy for early-phase clinical studies, ensuring alignment with Medical Data Review Plans (MDRPs), Critical to Quality (CtQ) endpoints, and Risk-Based Quality Management (RBQM) principles
• Oversee the development, standardization, and continuous improvement of data visualization templates, modules, and tools used across early and late development programs
• Ensure timely, high-quality delivery of visual analytics solutions by aligning implementation with key study milestones such as First Patient In, cohort reviews, or safety data review committee meetings
• Collaborate with biometrics and clinical leaders to prioritize visual analytics workstreams based on study complexity, safety considerations, and decision-critical timelines
• Guide the integration of CRF and non-CRF data sources into visualization workflows, ensuring scalability, traceability, and scientific relevance
• Lead the evolution of best practices for visual analytics design, interactivity, user experience, and compliance with Roche standards
• Serve as a key interface for real-time visual analytics in cross-functional forums, contributing to data strategy, digital enablement, and clinical insights generation initiatives
• Monitor industry trends and internal feedback to evaluate and adopt new tools, platforms, or visualization approaches that enhance the function's impact
• Lead, mentor, and develop a team of Real-time Visual Analytics Specialists, ensuring alignment with strategic priorities and fostering a culture of scientific excellence, innovation, and continuous learning
• Define clear expectations, performance goals, and development pathways to support career progression and technical growth within the visual analytics discipline
• Promote knowledge-sharing, peer review, and collaborative problem-solving across the team to maintain high-quality, reproducible visual analytics practices
• Ensure appropriate resourcing, workload balancing, and delivery timelines across studies and programs based on complexity, risk, and business needs
• Partner with Early Development Biometrics leadership to evolve the role of Real-time Visual Analytics Specialists, contribute to long-term capability planning, and support future-state design
• Collaborate with People & Culture (P&