The Analytical Data Science Programmer is a key contributor to the clinical study team, responsible for transforming statistical analysis plans into high-quality, traceable programming deliverables. This includes both static and dynamic outputs, such as tables, listings, figures, and interactive data visualizations or dashboards. The role involves creating and validating datasets in accordance with Study Data Tabulation Model and Analysis Data Model standards, ensuring compliance with regulatory requirements and Roche standards. In addition to supporting regulatory submissions, the ADS Programmer plays a critical role in generating data insights through platforms such as the Insight Engine, enabling real-time exploration and interpretation of diverse clinical and exploratory data. This role contributes to a modern, insight-driven development environment by facilitating robust, timely, and decision-enabling analytics across clinical programs. You independently develop, validate, and maintain datasets and statistical outputs for clinical trials, including Study Data Tabulation Model (SDTM) datasets, Analysis Data Model (ADaM) datasets, and tables, listings, and figures (TLFs), ensuring programming accuracy, traceability, and compliance with internal processes and regulatory expectations You develop and support programming outputs across a wide range of data types, including exploratory biomarker data and real-world data, to support both regulatory and scientific objectives You collaborate on exploratory analyses that span disease areas and therapeutic areas, enabling insight generation to inform drug development strategies You support the creation and refinement of interactive tools and analytical applications (e.g., dashboards or visual data platforms) that enable dynamic exploration of integrated datasets by scientific and clinical teams You provide programming leadership for assigned studies, coordinating deliverables across internal and external programming partners to meet study timelines and requirements You interpret statistical analysis plans and translate them into executable programming specifications to ensure scientific rigor in outputs You troubleshoot and resolve technical programming challenges with limited supervision, proactively identifying risks and implementing effective solutions while meeting timelines You contribute to the design and maintenance of standard macros and reusable components, promoting efficiency and consistency across multiple studies and projects You document programming workflows and maintain audit trails, ensuring study files are complete, traceable, and inspection-ready You work cross-functionally with stakeholders, including biostatistics, data management, and clinical operations, to define programming timelines and deliverables You engage in process improvement and innovation activities and participate in learning activities to grow knowledge of clinical research and programming standards.
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