Senior ADS Programmer, Early Development

Senior ADS Programmer, Early Development 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. Join Roche, where every voice matters. Position Early Development Biometrics (EDB) is a core function within Product Development Data Sciences. We partner with Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies. Opportunity The Early Development ADS Programmer develops high-quality, analysis-ready datasets and outputs that enable exploratory evidence generation in early-phase clinical trials. This role supports flexible and evolving study needs by creating custom data structures, outputs, and visualizations suited to novel or non-standard endpoints. Working within defined statistical analysis plans and programming conventions, the programmer ensures traceability, reproducibility, and technical rigor across diverse data sources. With strong proficiency in statistical programming and an understanding of early development challenges, this role helps deliver timely, fit-for-purpose outputs that inform development decisions and support transition into later-phase studies. Responsibilities Independent design and implementation of statistical programming solutions for early phase clinical studies, including custom datasets, outputs, and visualizations that support exploratory analyses. Adapt and extend existing code libraries and standards to meet study‑specific requirements in settings with limited precedent or structure. Ensure traceability, reproducibility, and quality of programming deliverables through documentation, validation, and peer review. Identify potential data or programming issues early and proactively address them using structured problem‑solving approaches. Contribute to study planning and analysis specification by translating protocols and statistical analysis plans into actionable programming requirements. Participate in developing reusable tools, templates, and workflows that enhance efficiency across early phase studies. Provide informal technical guidance to junior programmers and collaborators when needed. Stay current on emerging tools, languages, and methods applicable to early phase statistical programming and contribute to internal knowledge sharing efforts. Who You Are Hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field. Bring a minimum of 5 years of experience in statistical programming, preferably in clinical research or biomedical settings, or an advanced degree with 3 years of equivalent work experience. Proficient in one or more programming languages (e.g., SAS, R, Python) with a demonstrated ability to develop, validate, and document custom outputs and datasets. Have experience working with exploratory or non‑standard data in early phase studies, including integrating and transforming diverse data types. Have a solid understanding of data quality, traceability, and reproducibility in the context of statistical reporting. Independently translate statistical analysis requirements into technical solutions. Demonstrate strong analytical thinking, attention to detail, and comfort working in environments with evolving protocols and endpoints. Communicate effectively in technical documentation and peer collaboration. Demonstrate respect for cultural differences when interacting with colleagues in the global workplace. Preferred Hands‑on experience with biomarkers, -omics, imaging, or other complex data types commonly encountered in early development. Familiarity with simulation‑based or adaptive trial designs and their programming implications. Experience developing modular scripts or reusable code components across studies or programs. Understanding of early development timelines and the role of data outputs in enabling go/no‑go or dose‑escalation decisions. Exposure to data visualization tools or interactive exploration environments (e.g., Shiny, RMarkdown, Jupyter). Active contribution to internal quality standards, automation tools, or innovation initiatives. Interest in expanding skills beyond coding, such as workflow optimization, pipeline development, or computational efficiency. Roche is an Equal Opportunity Employer. #J-18808-Ljbffr