Senior Statistical Programmer

Overview

Senior Statistical Programmer role focused on R-based clinical trial analysis, R-Shiny application development, and CDISC-compliant statistical programming for submission-ready clinical data.

What you'll do

• Develop and validate internal/external R packages for clinical trial analysis (ADaM, tables, figures, listings).
• Build complex R-Shiny applications (dashboards, animations) to address clinical questions, Health Authority requirements, and decision-making.
• Conduct statistical programming of clinical data using R.
• Create and/or validate safety and efficacy study outputs (ADaM, TLFs) consistent with data definitions, protocol, SAP, and aCRF.
• Collaborate with statisticians and peers to ensure quality, accuracy, and submission readiness of clinical data (SDTM, ADaM, TFLs, define.xml).
• Identify problems and develop tools/solutions that improve efficiency and capacity of the Statistical Programming group.
• Lead R implementation and support/train other Biostatistics team members where needed.

What you'll need

• Strong, hands-on programming skills in R and R-Shiny; proven ability to reproduce statistical analyses using R.
• Strong data visualization and data wrangling skills using R; proficiency with R packages for data exploration and visualization.
• Solid application of statistical methodology and concepts in clinical trial analysis.
• Advanced knowledge of CDISC industry standards (SDTM/ADaM) and standard program development practices.
• Prior Data Scientist experience, demonstrating the ability to apply programming skills within broader data science and clinical contexts.

Nice to have

• Exposure to Late Phase, Real-World Evidence (RWE), and Global Medical Affairs studies.
• SAS proficiency (a plus but not mandatory).