About The Position

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. The Statistical Methodology group is a core function within Product Development Data Sciences, enabling the impactful use of quantitative methodology across 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.

Requirements

  • Hold a PhD, in Statistics, Data Science, Computer Science or another related quantitative discipline.
  • 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.
  • Strong expertise in statistical computing, advanced modeling and the development of novel or fit-for-purpose analytical solutions for complex datasets.
  • 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.
  • Experience contributing to internal standards, capability building, training or strategic initiatives, and enjoy mentoring others to strengthen methodological understanding and adoption.
  • Collaborative and inclusive mindset, show respect for cultural differences in a global environment.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • A healthier future drives us to innovate.
  • 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.
  • We commit ourselves to scientific rigor, unassailable ethics, and access to medical innovations for all.
  • We do this today to build a better tomorrow.
  • We are proud of who we are, what we do, and how we do it.
  • We are many, working as one across functions, across companies, and across the world.
  • We are Roche.
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