Collaborate with other statistical colleagues to provide input to statistical analysis plans and assist in selecting statistical methods for data analysis
Job Summary
Collaborate with other statistical colleagues to provide input to statistical analysis plans and assist in selecting statistical methods for data analysis.
Apply SAS programming and statistical methodology to new and varied methods, understanding relevant disease states to enhance customer focus and collaboration.
The position requires a Master’s degree in Statistics, Biostatistics, or related field and academic or employment experience in statistical programming languages such as SAS and R.
Matching Summary
Collaborate with other statistical colleagues to provide input to statistical analysis plans and assist in selecting statistical methods for data analysis.
Salary
Base: $130,237.80 per year; Bonus/Equity: Company bonus (depending on performance); Benefits: Comprehensive benefit program including 401(k), pension, vacation, medical, dental, vision, life insurance, and well-being benefits
Skills & Requirements
Must-have
SAS programming (Base, Macro, STAT)
R programming (tidyverse, ggplot2, Shiny)
Clinical trial data standards (CDISC SDTM, ADaM)
Pinnacle 21 for compliance validation
Generating tables, figures, listings (TFLs)
ICH E9 and ICH E3 guidelines
Git/GitHub for source code management
Automating report generation (R Markdown, SAS ODS)
Nice-to-have
Disease state understanding
Customer focus and collaboration
Spotfire and SAS ODS Graphics
Key Requirements
Master’s degree in Statistics, Biostatistics, or related field