Data Scientist developing machine learning solutions and AWS analytics for Sun Life’s Canadian insurance and financial - services business. Translating business goals into models, pipelines, and actionable insights.
About the role
- Statistical Methodology Data Scientist enhancing research methodologies at Roche. Supporting decision-making through expert guidance and collaboration with various teams in clinical research.
Responsibilities
- 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.
Requirements
- 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).
Benefits
- Benefits are not available for this job posting.
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