Senior R Programmer for Clinical Data Solutions

Cytel; Providence (RI); On-site; USD 120,000 - 160,000; Full time

Job summary

Cytel is seeking an R Technical Solutions Programmer to implement data and analysis infrastructure for the data flow from collection to submission in clinical trials. You will leverage R to enable an open-source ecosystem for programming and coordinate requirements with cross-functional teams.

The role focuses on robust R code, package development with documentation and testing, and promoting innovation in data analysis and visualization within regulated environments.

Qualifications

• 5+ years in pharma/biotech/CRO.
• Experience with R in regulated clinical development environments.
• Strong data manipulation with tidyverse.
• Experience developing R packages with documentation and testing.
• Familiarity with SAS/MACRO preferred.
• Knowledge of drug development life cycle.

Responsibilities

• Implements data and analysis infrastructure for data flow from collection to submission.
• Collaborates with internal teams to develop processes, tools and utilities to improve quality and efficiency.
• Develops reusable and robust R package code and documentation.
• Promotes technical innovation for data analysis and visualization in clinical data environments.
• Partners with study teams to use and improve processes and tools.
• Facilitates change management activities and training for department systems and processes.

Skills

R programming

Data analysis

Data visualization

Package development

Documentation & training

Cross-functional collaboration

Attention to detail

Tools

SAS

Posit Workbench

Posit Connect

Job description

Cytel is seeking an R Technical Solutions Programmer to implement data and analysis infrastructure for the data flow from collection to submission in clinical trials. You will leverage R to enable an open-source ecosystem for programming and coordinate requirements with cross-functional teams.

The role focuses on robust R code, package development with documentation and testing, and promoting innovation in data analysis and visualization within regulated environments.