Senior Principal DSX Data Scientist, AI

About the role

A healthier future drives us to innovate, continuously advance science, and ensure access to healthcare for generations. This role sits within Analytical Data Science, a core function of Product Development Data Sciences (PDD) at Roche. PDD Analytical Data Science provides strategic leadership and scientific rigor across Development, generating data-driven insights, identifying opportunities for scale, and implementing impactful solutions. The team is recognized as a leading hub for top industry talent, delivering regulatory commitments through an agile workforce.

The Senior Principal DSX Data Scientist in the Data Science Acceleration (DSX) team develops scalable tools, environments, and workflows enabling efficient, high-quality statistical computing across PDD. This role focuses on creating and maintaining next-generation capabilities supporting automation of programming workflows, reusable coding macros, and advanced data visualization. Collaborating with statistical programmers, biostatisticians, and clinical scientists, you translate 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.

Responsibilities

• Provide strategic and technical leadership in designing and evolving Roche’s next-generation statistical computing platforms to meet future PDD and organizational needs.
• Anticipate emerging industry trends, technologies, and regulatory shifts, translating them into forward-looking data science capabilities, frameworks, and standards.
• Lead large-scale, cross-functional initiatives redefining how clinical, operational, or real-world data are processed, visualized, and interpreted for decision-making.
• 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.
• Guide technical vision, architectural decisions, and resource planning for high-impact tooling and infrastructure projects across DSX.
• Resolve complex, system-level challenges across disciplines using deep scientific computing expertise and systems thinking.
• Influence internal policy and development standards, driving adoption of best practices that scale across teams, functions, and geographies.
• Communicate complex technical ideas clearly to senior-level stakeholders, shaping decisions on investment, tooling strategy, and portfolio priorities.
• Foster a culture of technical excellence, collaboration, and innovation through mentorship, internal community building, and knowledge sharing.

Requirements

• PhD or Master’s degree in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field.
• Minimum of 8 years of experience in data science, statistical computing, or platform development, with a demonstrated track record of impact at organizational or cross-functional levels.
• Recognized expertise in building and scaling scientific or statistical software systems, with deep understanding of clinical research environments and regulatory implications.
• Proficiency in multiple programming environments (e.g., Python, R) and development practices for reproducible, compliant, and high-performance computing.
• Demonstrated leadership of major programs or cross-functional initiatives with technical complexity and strategic significance.
• Capacity for independent thinking and decision-making based on sound principles.
• Excellent strategic agility, problem-solving, and critical thinking skills extending beyond the technical domain.
• Respect for cultural differences in a global workplace.
• Strong verbal and written communication skills, including the ability to influence senior stakeholders and explain technical strategy with clarity and confidence.
• Proven experience leading global, cross-functional projects or workstreams, demonstrating effective coordination across time zones and diverse stakeholder groups.

Preferred Qualifications

• Experience shaping the architecture and long-term roadmap of enterprise-scale data science platforms or statistical computing environments.
• Demonstrated ability to influence regulatory and quality frameworks in the context of digital and analytical tools.
• Strategic understanding of healthcare data ecosystems, including real-world data, translational pipelines, and high-dimensional data integration.
• Proven ability to drive tool adoption and cultural change through technical leadership, stakeholder engagement, and thoughtful design.
• Engagement with external scientific or developer communities (e.g., open-source contributions, industry consortia, conference presentations).
• Experience guiding investment and resource decisions for high-impact tooling or analytics initiatives.
• Ability to synthesize organizational priorities and translate them into impactful, technically sound solutions at scale.

Pay

The expected salary range for this position based on the primary location of California is $207,480 - $385,320. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance.

Benefits

This position qualifies for the benefits detailed at Genentech’s benefits page.