Statistical Programming Co-op, Biometrics

This candidate that joins the statistical programming group from July through December 2025 will learn to provide statistical programming support for clinical studies, learn to program CDISC datasets (SDTM/ADaM), and report the statistical summary results with Tables, Listings and Figures. They will also perform validation of datasets, tables, and figures, as well as other supporting activities for the statistical programming group (for example, data visualization, patient profile and enhancement of existing data analysis tools). The candidate is expected to implement SAS programming methods in R and generate datasets (SDTM/ADaM) in R/Python.

Responsibilities:

The Fall Co-op, assisting the statistical programming function will be expected to learn how to:

• Develop, review, validate SAS programs to generate Datasets, Tables, Figures and Listings.
• Develop programs to generate Tables and Figures in R/Python.
• Support implementation of tools to facilitate the data visualization and patient profiles in R/Python.
• Support implementation of data exploration analysis in R/Python.
• Understand Company SOPs and relevant industry’s standards.
• Enhance existing data analysis macro tools.
• Prepare final presentation to statistical programming group.

Qualifications:

• Current enrollment in pursuit of BS or MS in Statistics, Mathematics, Computer Science, Engineering.
• Knowledge of R/R-Shiny or Python is preferred.
• Knowledge of SAS language, procedures, and options for clinical trial data and reporting including BASE SAS, Macro language, SAS/STAT and SAS/Graph is preferred.
• Knowledge of Adobe Acrobat to do the annotation and create combined file.
• Good verbal communication skills, ability to write clearly and effectively.
• Strong interpersonal skills.
• Ability to work collaboratively as part of a team.
• On-site required.