Roche's Product Development Data Sciences (PDD) needs to develop scalable tools, environments, and workflows to enable efficient, high-quality statistical computing across the organization. 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 to streamline evidence generation and support faster, more reliable decision-making across the development pipeline.
Requirements
- You are proficient in programming languages commonly used in statistical computing (e.g., R, Python) and are familiar with development tools such as Git, Docker, or workflow automation tools.
- You understand clinical trial data structures, statistical analysis concepts, or biomedical data (e.g., omics, real-world data, operational data).
- You demonstrate ability to build, test, and maintain reproducible, well-documented code.
- Experience working with diverse data modalities (e.g., clinical, operational, real-world, omics) and applying analytical strategies to uncover patterns or insights.
- Familiarity with statistical computing workflows in regulated environments, including clinical trial data structures and lifecycle.
- Demonstrated interest in data engineering best practices (e.g., reproducibility, code modularity, testability, documentation).
- Exposure to automation, workflow orchestration tools (e.g., Airflow, Nextflow), or containerization (e.g., Docker, Kubernetes) is a plus.
Responsibilities
- You contribute to the design, development, and maintenance of statistical computing environments and tools that enable efficient analysis of clinical and operational data.
- You develop and implement reusable code libraries, macros, and automation pipelines to support programming workflows across PDD.
- You collaborate with statisticians, programmers, and data scientists to translate user needs into robust, scalable technical solutions.
- You support exploratory analytics and data visualization capabilities that enhance insight generation and decision-making across development programs.
- You apply software engineering best practices, including version control, testing, and documentation, to ensure high-quality, reproducible code.
- You participate in the continuous improvement of DSX tools and infrastructure, incorporating feedback and emerging technologies.
- You support regular review of opportunities to simplify and innovate, and collaborate with experts in PDD and beyond to accelerate and deliver patient benefits faster.
Other
- You hold a Master’s degree or PhD in Computer Science, Data Science, Statistics, Bioinformatics, Engineering, or a related quantitative discipline.
- You have 2+ years of hands-on experience in data science, statistical computing, software engineering, or a related field, preferably in a life sciences or healthcare setting (internship and academic experience will be considered).
- You demonstrate capacity for independent thinking and ability to make decisions based upon sound principles.
- You bring excellent strategic agility including problem-solving and critical thinking skills, and agility that extends beyond the technical domain.
- You demonstrate respect for cultural differences when interacting with colleagues in the global workplace.
