Senior R Statistical Programmer

About the role

Implement the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Use expertise in R programming and clinical trials to create solutions that enable an open-source ecosystem for programming. Coordinate gathering and prioritizing requirements in the design and delivery of fit-for-purpose data and analysis technical solutions.

Responsibilities

• Collaborate with internal teams to understand requirements and develop processes, tools, and utilities that will improve quality and efficiency
• Develop reusable and robust R package code and/or utilities, along with detailed training/documentation
• Promote technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
• Partner with study teams in the use and further improvement of processes and tools
• Facilitate change management activities and training for department systems and processes

Requirements

• Minimum 5 years’ industry experience (Pharma, Biotech, CRO)
• Experience with R within regulated clinical development environments
• Strong R data manipulation and analysis skills using standard tidyverse packages
• Strong R visualization skills for use in static outputs and dashboards
• Experience with developing R packages including proper documentation and testing
• Experience developing SAS code including SAS/MACRO preferred
• Familiarity with Posit products including Workbench, Positron, and Connect
• High attention to detail including proven ability to manage multiple, competing priorities
• Familiarity with drug development life cycle and experience with manipulation, analysis, and reporting of clinical trials’ data
• Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners