Stevenage, England, United Kingdom Hybrid / WFH Options
Queen Square Recruitment Limited
Job Opportunity: R & Shiny Engineer (Contract) Life Sciences Unit Location: Hybrid Stevenage (preferred) or London, UK Contract Duration: 6 months initially Rate: Competitive DOE, inside IR35 Hybrid Working: Minimum 2 days per week on-site About the Role Our client is seeking two skilled R Engineers with strong … expertise in R, Shiny, and RMarkdown to join their team in the Life Sciences sector. Youll play a key role in building interactive, robust, and scalable web applications that help drive impactful insights in a data-driven environment. Key Responsibilities Design, develop, test, and deploy interactive … R Shiny web applications. Work with R packages such as Data.Table, dplyr, tidyr, ggplot2, and Shiny dashboards. Write clean, efficient, and well-documented R code; conduct code reviews and validations. Implement unit testing and ensure application performance and reliability. Benchmark and optimize performance across applications. Identify and More ❯
stevenage, east anglia, united kingdom Hybrid / WFH Options
Queen Square Recruitment Limited
Job Opportunity: R & Shiny Engineer (Contract) Life Sciences Unit Location: Hybrid Stevenage (preferred) or London, UK Contract Duration: 6 months initially Rate: Competitive DOE, inside IR35 Hybrid Working: Minimum 2 days per week on-site About the Role Our client is seeking two skilled R Engineers with strong … expertise in R, Shiny, and RMarkdown to join their team in the Life Sciences sector. Youll play a key role in building interactive, robust, and scalable web applications that help drive impactful insights in a data-driven environment. Key Responsibilities Design, develop, test, and deploy interactive … R Shiny web applications. Work with R packages such as Data.Table, dplyr, tidyr, ggplot2, and Shiny dashboards. Write clean, efficient, and well-documented R code; conduct code reviews and validations. Implement unit testing and ensure application performance and reliability. Benchmark and optimize performance across applications. Identify and More ❯
watford, hertfordshire, east anglia, united kingdom Hybrid / WFH Options
Queen Square Recruitment Limited
Job Opportunity: R & Shiny Engineer (Contract) Life Sciences Unit Location: Hybrid Stevenage (preferred) or London, UK Contract Duration: 6 months initially Rate: Competitive DOE, inside IR35 Hybrid Working: Minimum 2 days per week on-site About the Role Our client is seeking two skilled R Engineers with strong … expertise in R, Shiny, and RMarkdown to join their team in the Life Sciences sector. Youll play a key role in building interactive, robust, and scalable web applications that help drive impactful insights in a data-driven environment. Key Responsibilities Design, develop, test, and deploy interactive … R Shiny web applications. Work with R packages such as Data.Table, dplyr, tidyr, ggplot2, and Shiny dashboards. Write clean, efficient, and well-documented R code; conduct code reviews and validations. Implement unit testing and ensure application performance and reliability. Benchmark and optimize performance across applications. Identify and More ❯
Our teams are passionate about technology, work with cutting-edge tech and adopt an agile approach to software development. We are looking for an R Developer with financial modelling experience to help design, build, deliver, and support models & applications serving the pensions market. You will: Work alongside high-performing … scale, in novel market areas. Be core to the product teams that build, test and scale our applications and services. Work closely with our R User and Model Expert Groups to promote best practices. Support less experienced team members with R development. About You To succeed in, and … reliability, security, and scalability. Financial modelling (pensions domain beneficial). Applying coding and technical solutions to complex financial scenarios. End-to-end implementation of R solutions. You will have experience of the following: Strong pensions domain knowledge gained in an actuarial context essential. R Programming (ideally in the More ❯
Glasgow, Renfrewshire, United Kingdom Hybrid / WFH Options
Hymans Robertson LLP
Our teams are passionate about technology, work with cutting-edge tech and adopt an agile approach to software development. We are looking for an R Developer with financial modelling experience to help design, build, deliver, and support models & applications serving the pensions market. You will: Work alongside high-performing … scale, in novel market areas. Be core to the product teams that build, test and scale our applications and services. Work closely with our R User and Model Expert Groups to promote best practices. Support less experienced team members with R development. About You To succeed in, and … reliability, security, and scalability. Financial modelling (pensions domain beneficial). Applying coding and technical solutions to complex financial scenarios. End-to-end implementation of R solutions. You will have experience of the following: Strong pensions domain knowledge gained in an actuarial context essential. R Programming (ideally in the More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
Hymans Robertson LLP
Our teams are passionate about technology, work with cutting-edge tech and adopt an agile approach to software development. We are looking for an R Developer with financial modelling experience to help design, build, deliver, and support models & applications serving the pensions market. You will: Work alongside high-performing … scale, in novel market areas. Be core to the product teams that build, test and scale our applications and services. Work closely with our R User and Model Expert Groups to promote best practices. Support less experienced team members with R development. About You To succeed in, and … reliability, security, and scalability. Financial modelling (pensions domain beneficial). Applying coding and technical solutions to complex financial scenarios. End-to-end implementation of R solutions. You will have experience of the following: Strong pensions domain knowledge gained in an actuarial context essential. R Programming (ideally in the More ❯