8 of 8 Permanent Shiny Jobs in the UK excluding London

tools to enhance data engineering workflows (e.g. automated testing, code optimization, data quality monitoring, or intelligent alerting) Some R experience, and a willingness to help support a legacy R Shiny application is an advantage but not necessary Familiarity with tools such as GitHub Copilot, AWS AI services, or open-source LLMs for development support Mentoring from experienced colleagues and More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

Programming team. Support the uptake of R across the department, promoting best practices and training. Create and QC reusable outputs and figures in R that can be integrated into Shiny apps by the Data Science team. Provide technical leadership and guidance on R-based solutions, while maintaining SAS proficiency. Daily Interactions: Communicate with study team members and client contacts. More ❯

5+ years of experience in R programming for clinical trial data including developing and validating R packages from CRO or Pharmaceutical Industry. Strong programming skills in R/R Shiny Proven experience in applying R and R-Shiny for the analysis and reporting of clinical trials. Ability to reproduce statistical analysis using R. Strong skills in data visualization … and data wrangling using R. Proficiency in using R packages for data exploration and visualization. Application of statistical methodology and concepts in clinical trial analysis. Experience with R-Shiny apps for data exploration. Advanced knowledge of industry standards including CDISC data structures as well as a solid understanding of the development and use of standard programs. In-depth understanding More ❯