Senior Statistical Methodology 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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This role is in the Statistical Methodology group, a core function within Product Development Data Sciences (PDD) that strives to enable the most impactful use of quantitative methodology at Roche through internal collaboration, external outreach, and continuous capability building.

As a Senior Statistical Methodology Data Scientist, you will play a strategic role in advancing the adoption of fit-for-purpose statistical methodologies that strengthen scientific rigor, evidence generation, and decision-making across clinical development programs and portfolios. Acting as a methodological thought partner, you will collaborate with study teams, biostatisticians, and cross-functional stakeholders to identify needs, prototype solutions, and support scalable adoption through training, templates, frameworks, and tools.

• Provide expert methodological guidance to study teams on complex study design, analysis strategies, and quantitative decision-making across programs
• Lead the development and implementation of innovative statistical approaches, such as estimand frameworks, trial simulations, covariate adjustment strategies, model-based projections, and quantitative go/no-go frameworks
• Translate methodological insights into scalable solutions, including templates, training, open-source tools, and best practices that strengthen analytical excellence across the organization
• Support portfolio-level analyses, scenario modeling, and quantitative frameworks that inform clinical strategy, optimize development decisions, and enable evidence-based prioritization
• Represent Roche externally through scientific collaborations, consortia, working groups, publications, or regulatory-facing initiatives, helping the organization stay at the forefront of methodological advances

• You hold a PhD in Statistics, Data Science, Computer Science or another related quantitative discipline
• You have 2+ years of experience designing and applying advanced statistical or data science methods to complex biomedical data, ideally in clinical trial research or pharmaceutical development
• You bring strong expertise in statistical computing, advanced modeling and the development of novel or fit-for-purpose analytical solutions for complex datasets
• You are recognized as a technical expert and trusted thought partner, with the ability to translate complex methodology into clear recommendations for scientific, clinical, and cross-functional stakeholders
• You have experience contributing to internal standards, capability building, training, or strategic initiatives, and you enjoy mentoring others to strengthen methodological understanding and adoption
• You bring a collaborative and inclusive mindset, show respect for cultural differences in a global environment, and ideally have a track record of publications, presentations or thought leadership in emerging areas such as AI/ML, real-world data integration, or predictive biomarkers

Roche is an equal opportunity employer and strictly prohibits unlawful discrimination based upon an individual's race, color, religion, gender, sexual orientation, gender identity/expression, national origin/ancestry, age, mental/physical disability, medical condition, marital status, veteran status, or any other characteristic protected by law.