Senior Statistical Data Scientist

Data Analysis and Modeling:

• Support the design, development, and validation of R/Python code to automate generation of analytical datasets and TLFs.
• Implement and validate statistical models using R packages such as mmrm, emmeans.
• Build and validate R packages and data science tools supporting both exploratory and confirmatory analyses.

Collaboration and Standards:

• Collaborate across programming, biostatistics, and data standards functions to ensure alignment with controlled standards.
• Conduct peer code reviews, unit testing, and automated validation.
• Mentor and guide team members in best practices for programming, validation, and automation.

Technical Skills:

• Proven experience preparing or supporting R-based regulatory submissions.
• Strong understanding of CDISC ADaM and SDTM data structures.
• Proficiency with Git, Bitbucket, and CI/CD automation pipelines.