Principal 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. Join Roche, where every voice matters.

The Position

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. 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 open source software/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.

The Opportunity: 

• You serve as a methodological thought partner to study teams, providing expert guidance on complex design and analysis across programs

• You lead the development and institutionalization of methodologies that improve decision-making at trial and portfolio levels (e.g., quantitative go/no-go criteria, simulation frameworks, model-based projections)

• You shape cross-functional understanding of innovative statistical methods through consultation, publications, and leadership of education efforts

• You anticipate regulatory trends and industry shifts, integrating relevant methodologies into internal practices and guiding external engagements

• You act as a connector across teams, surfacing recurring challenges and co-creating scalable solutions to elevate analytical excellence in the organization

• You drive external collaboration through active participation in consortia, joint working groups, or regulatory-facing initiatives

• You mentor junior staff and influence the strategic direction of Statistical Methodology through thought leadership, vision-setting, and capability building

Who you are:

• You hold a PhD (or equivalent experience) in Data Science, Statistics, Computer Science, or a related quantitative discipline

• You have 7+ years of experience designing and applying advanced analytics to complex biomedical data in clinical trial research

• You bring deep expertise in statistical computing and advanced modeling, with a track record of developing novel or custom analytical solutions

• You are recognized as a technical expert and thought partner within the organization or broader field

• You have experience mentoring others and contributing to internal standards, strategy, or capability development

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

Preferred:

• Experience developing novel or fit-for-purpose analytical methods for different types of datasets

• Demonstrated leadership in designing scalable workflows or frameworks adopted across multiple projects or teams

• Track record of influencing portfolio- or program-level decisions through rigorous analytical insights

• Publications, presentations, or internal white papers that showcase innovative analytical thinking

• Thought leadership in emerging data science areas relevant to pharmaceutical development (e.g., AI/ML in translational research, real-world data integration, predictive biomarkers)

Relocations Benefits are not available for this job posting.

The expected salary range for this position based on the primary location of Mississauga is 136,936.00 and 179,728.50 of hiring range. Actual pay will be determined based on experience, qualifications, and other job-related factors as determined by the company.

We use artificial intelligence to screen, assess or select applicants for this role.

This posting is for an existing vacancy at Hoffmann-La Roche Ltd.

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.