Collaborate closely with biostatisticians and cross-functional teams
Refine and enhance statistical modelling approaches and methodologies
Design and develop robust R-based workflows and packages
Implement best practices for testing, documentation, and CI/CD in statistical projects
Support the deployment of models as scalable, production-ready software on cloud platforms
Provide technical guidance and mentorship to improve modelling and engineering standards
Ensure reproducibility, maintainability, and performance of statistical solutions.

Strong background in statistics, ideally with experience as a biostatistician
Advanced proficiency in R, including package development
Solid experience with version control (Git) and collaborative workflows
Experience with CI/CD pipelines, automated testing, and documentation practices
Strong understanding of reproducible research and robust statistical modelling practices
Experience designing scalable R-based processes for modelling workflows
Familiarity with deploying models or analytical workflows into production environments
Exposure to API development or integration (nice to have)
Excellent written and verbal communication skills
Ability to translate complex statistical concepts into clear, practical guidance
Strong stakeholder engagement and advisory mindset.

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Senior Data Scientist, Biostatistics

Key skills