Senior Principal DSX Data Scientist

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This role is in Analytical Data Science, a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across Development  Analytical Data Science teams are mobilized across the portfolio to generate data-driven insights, identify opportunities for scale, and implement impactful solutions.

PDD Analytical Data Science is recognized as a leading hub for top industry talent, operating as an agile workforce to deliver regulatory commitments across the portfolio. We identify, influence, and adopt industry-leading digital and automation solutions, develop analytical approaches to support exploratory analyses, and align statistical programming practices across both early- and late-stage clinical development.

The Senior Principal DSX Data Scientist in the Data Science Acceleration (DSX) team is responsible for developing scalable tools, environments, and workflows that enable efficient, high-quality statistical computing across Product Development Data Sciences (PDD). This role focuses on creating and maintaining next-generation capabilities that support automation of programming workflows, generation of reusable coding macros, and advanced data visualization. Working closely with statistical programmers, biostatisticians, and clinical scientists, the Data Scientist translates scientific and operational needs into robust, modular, and user-friendly solutions that streamline evidence generation and support faster, more reliable decision-making across the development pipeline.

• You provide strategic and technical leadership in the design and evolution of Roche’s next-generation statistical computing platforms, ensuring they meet the future needs of PDD and the broader organization
• You anticipate emerging industry trends, technologies, and regulatory shifts, and translate them into forward-looking data science capabilities, frameworks, and standards
• You lead large-scale, cross-functional initiatives that redefine how clinical, operational, or real-world data are processed, visualized, and interpreted for decision‑making
• You serve as a senior technical advisor to platform owners, programming and statistical leadership, and governance teams on complex topics involving infrastructure, automation, and scientific computing
• You guide technical vision, architectural decisions, and resource planning for high‑impact tooling and infrastructure projects across DSX
• You resolve complex, system‑level challenges across disciplines by applying deep scientific computing expertise and systems thinking
• You influence internal policy and development standards, and drive adoption of best practices that scale across teams, functions, and geographies
• You communicate complex technical ideas clearly to senior‑level stakeholders and shape decisions on investment, tooling strategy, and portfolio priorities
• You foster a culture of technical excellence, collaboration, and innovation through mentorship, internal community building, and knowledge sharing

• You hold a PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field
• You have a minimum of 10 years of experience in data science, statistical computing, or platform…