Senior DSX Data Scientist

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come.

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A healthier future. It’s what drives us to innovate. To continuously advance science and ensure everyone has access to the healthcare they need today and for generations to come. Creating a world where we all have more time with the people we love. That’s what makes us Roche.

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 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 design, develop, and maintain robust statistical computing tools and platforms that support scalable, high-quality analytics across Product Development Data Sciences (PDD)

• You lead the development of reusable code modules, macro libraries, and workflow automation components that accelerate statistical programming and insight generation

• You serve as a key technical partner to statistical programmers, biostatisticians, and clinical scientists, translating scientific and operational needs into scalable, user-centered solutions

• You contribute to architectural decisions, codebase design patterns, and infrastructure improvements to enhance reproducibility, performance, and maintainability

• You lead or contribute to moderate-sized DSX projects, coordinating deliverables and ensuring alignment with broader development timelines and regulatory priorities

• You act as a functional mentor and technical resource to junior team members, fostering best practices in code development, testing, and documentation

• You collaborate cross-functionally to expand data visualization, workflow orchestration, and computing capabilities that enable faster, more flexible evidence generation

• You integrate feedback from internal users and stakeholders to iterate and improve DSX platforms, balancing innovation with reliability and compliance

• You hold a Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative field

• You have experience in data science, statistical computing, or software engineering, preferably within a life sciences, healthcare, or regulated environment

• You have a proven ability to independently develop, optimize, and scale data science tools or platforms in support of clinical or scientific workflows

• You are proficient in programming languages such as R or Python, with hands‑on experience in version control…