3 of 3 Shiny Jobs in the UK

Science, Bioinformatics, Statistics, Mathematics, Pharmaceutical Sciences, or a related field Proven experience programming in R, including data manipulation, statistical modeling, and visualization (experience with packages such as ggplot2, dplyr, shiny, tidyr, etc.). Experience working in bioinformatics, pharmacometrics, or computational biology is a plus. Experience with relational databases (e.g., SQL) and knowledge of data integration practices. Ability to prioritize … statistical analysis and predictive modeling techniques. Familiarity with Git for version control and collaborative coding. Familiarity with machine learning approaches and data mining is an advantage. R programming, RStudio, Shiny, and related R libraries for analysis and visualization. Basic knowledge of Python and/or other programming languages (e.g., C++, Java) is a plus. Familiarity with cloud platforms, data More ❯

this analysis in both parametric and non-parametric forms Excellent IT skills including fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi. Experience in R programming language, including RShiny and/o RMarkdown. Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries. Experience in data manipulation, data cleaning and preparation. Experience in More ❯

applications (e.g. PowerApps) into geospatial services Skilled in least one of the following to develop custom geospatial applications, including Esri APIs where relevant: Python, JavaScript, SQL, and R/Shiny Proficient in utilising Microsoft Azure services for cloud-based solutions (or similar) Successfully leading a small team to deliver technical tasks and geospatial services Customer focussed approach to quality More ❯