Senior Statistical Methodology Data Scientist in Welwyn

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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 the Statistical Methodology group, 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 Statistical Methodology Data Scientists play a strategic role in enabling the adoption of fit-for-purpose statistical methodologies to drive scientific rigor and decision-making excellence in early clinical development. This team serves as a center of excellence focused on consultation, education, and outreach to ensure that innovative and appropriate methods are applied across programs and portfolios.

• Statistical Methodology Data Scientists collaborate closely with project teams, biostatisticians, and cross-functional stakeholders to identify methodological needs, prototype solutions (e.g., estimand frameworks, trial simulations, covariate adjustment strategies), and support scalable adoption through training, templates, and tools.
• They engage in portfolio-level analyses, scenario modeling, and quantitative frameworks that inform go/no-go decisions and optimize clinical strategy.
• The team also maintains key external relationships, representing the company in consortia, scientific working groups, and regulatory collaborations to stay at the forefront of methodological advances in the pharmaceutical industry.

You lead or co-lead methodological consultations with project teams, identifying opportunities to apply fit-for-purpose statistical techniques (e.g., covariate adjustment, trial simulation, Bayesian approaches).

• You develop prototypes or proof-of-concept frameworks (e.g., estimand templates, scenario modeling tools) that scale across programs and support consistent decision-making.
• You translate scientific questions into statistical frameworks that inform strategic trial and portfolio-level decisions.
• You contribute to internal education by designing and delivering trainings, toolkits, or case study sessions on applied statistical methodology.
• You partner with stakeholders (e.g., TA statisticians, regulatory leads, data science) to pilot, refine, and scale novel methodological approaches.
• You help identify cross-cutting methodological gaps or barriers to adoption, and work with the broader Statistical Methodology team to design solutions.
• You represent Statistical Methodology perspectives in internal forums or working groups focused on study design innovation or quantitative decision-making.

Who you are:

• You hold a Master’s or PhD in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field.
• You have experience applying advanced data science techniques to biomedical or clinical research questions.
• You are strongly proficient in R or Python, with demonstrated experience developing reusable and scalable analytics pipelines.
• You bring applied expertise in statistical modeling, machine learning, or simulation approaches relevant to exploratory or translational data.
• You have experience working with diverse data types (e.g., -omics, biomarkers, longitudinal data).
• You can independently lead analytical workstreams and collaborate effectively with statistical and scientific experts.
• You show respect for cultural differences when interacting with colleagues in the global workplace.

Preferred:

• Experience leading analytical components of early-phase studies or research projects.
• Hands-on experience with data integration across modalities (e.g., clinical, biomarker, -omics).
• Working knowledge of advanced statistical techniques such as longitudinal modeling, time-to-event analysis, or simulation.
• Familiarity with Bayesian methods, causal inference, or uncertainty quantification in early development contexts.
• Ability to contribute to tool or workflow development (e.g., internal packages, re-usable functions, standardized templates).
• Engagement with scientific communities (e.g., conferences, internal knowledge-sharing forums, open-source contributions).

This position is based in Welwyn. Relocation Assistance is not available.

At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognise the importance of flexible working and will review all applicants’ requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.