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The Position

This role is in Early Development Biometrics (EDB), a core function within Product Development Data Sciences (PDD) that provides strategic leadership and scientific rigor across early clinical development at Roche. We partner across Biostatistics, Analytical Data Science, and Data Management to enable data-driven decision-making from first-in-human through proof-of-concept studies.

As trusted partners in early development, we design efficient and innovative clinical trials, apply rigorous statistical methods, and implement high-quality programming and analytical solutions to accelerate timelines, de-risk development, and increase the probability of technical success. Our integrated teams operate with agility and scientific depth, supporting exploratory analyses, early regulatory engagements, and complex data-generation needs across therapeutic areas. Together, we bring scientific rigor, technical innovation, and strategic insight to shape the future of early development and deliver better outcomes for patients.

Early Development Biometrics is also home to Methods Collaboration & Outreach (MCO), which enables the most impactful use of quantitative methodology across PDD through internal consultation, external collaboration, and continuous capability building; and Visual Analytics, which creates and maintains interactive dashboards that drive high-quality Medical Data Review (MDR) and safety signal detection, aligned with Risk-Based Quality Management (RBQM) principles and Critical-to-Quality (CtQ) endpoints.

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.

• You support the development and validation of exploratory datasets and outputs for early phase clinical studies, including custom data structures and visualizations, based on protocol and analysis requirements

• You generate programming deliverables (e.g., datasets, summary outputs, visual displays) using validated tools and standard code libraries, with guidance from more experienced programmers

• You contribute to documentation and quality control practices to ensure transparency, reproducibility, and consistency in early development outputs

• You identify and resolve basic technical issues in code or output by performing structured checks and escalating as needed

• You learn and apply foundational concepts in early development programming, including flexible data design, data traceability, and fit for purpose output generation

• You engage in learning activities to deepen understanding of early clinical research, exploratory endpoints, and evolving data standards relevant to early phase development

• You work under general supervision and apply independent judgment to interpret guidance, prioritize responsibilities, and make decisions in situations that require contextual understanding

Who You Are:

• You hold a Bachelor’s or Master’s degree in Statistics, Computer Science, Mathematics, Life Sciences, or a related field

• You bring 2 to 4 years of experience in statistical programming, or an advanced degree with 0 to 2 years of equivalent work experience

• You have basic proficiency in a modern programming language (e.g., SAS, R, or Python) for data manipulation and output generation

• You understand data integrity principles and quality control processes in a scientific setting

• You work effectively with structured and semi structured data in support of scientific exploration

• You are curious and willing to learn the unique analytical needs of early clinical development

• You show strong logical thinking, attention to detail, and effective written documentation practices

• You demonstrate respect for cultural differences when interacting with colleagues in the global workplace
  

Preferred Qualifications:

• Familiarity with handling non-standard or exploratory clinical data, such as biomarkers, -omics, or real-world data

• Exposure to data visualization techniques and tools (e.g., ggplot2, plotly, SAS Graph, Shiny)

• Awareness of early development study designs and their implications for data structure and analysis

• Familiarity with data traceability, metadata documentation, or audit readiness practices

• Interest in programming for decision support, hypothesis generation, or translational insight

• Ability to follow and contribute to reproducible programming workflows (e.g., version control, notebooks, modular scripts)

• Demonstrated initiative in learning new tools or contributing to process improvement

• Experience supporting early-phase clinical trials, including familiarity with adaptive designs, rapid data cycles, and evolving endpoints typical of exploratory and translational research

Relocation benefits are not available for this posting

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Who we are

A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.

Let’s build a healthier future, together.