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# Senior R Statistical Programmer

- **Company:** Cytel Inc
- **Location:** London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £39,081.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Clinical Data Repository, R (Programming Language), Open Source Technology, SAS (Software), Data Streaming, Data Processing
- **Published:** July 19, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5806152033

## About the Role

* 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

## Description

The R Technical Solutions Programmer is responsible for implementing the vision for data and analysis infrastructure platforms and other technical solutions to support the data flow from data collection to data submission. Using expertise in R programming and clinical trials to create solutions that will enable an open-source ecosystem for programming. This role will coordinate gathering and prioritizing requirements in the process of design and delivery of fit-for-purpose data and analysis technical solutions., * Collaborates with internal teams to understand requirements and develop processes, tools and utilities that will improve quality and efficiency

 * Develops reusable and robust R package code and/or utilities, along with detailed training/documentation
 * Promotes technical innovation to drive the development of data analysis and visualization solutions within a clinical data environment
 * Partners with study teams in use and further improvement of processes and tools
 * Facilitates change management activities and training for department systems and processes


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