Senior Data Engineer R Programming

• Strong background in Data Science with indepth knowledge of data manipulation statistical analysis and data visualization techniques.
• Strong experience with R Shiny application development Design develop and maintain interactive web applications using R Shiny to visualize and analyze data in an engaging and userfriendly manner
• Strong experience with R package development experience.
• Strong proficiency in R programming data manipulation packages dplyr tidyr) and data visualization libraries ggplot2 plotly).
• Solid understanding of data science concepts statistical analysis and machine learning algorithms.
• Experience with data visualization best practices and the ability to create insightful and compelling visual representations of data.
• Familiarity with data querying languages (e.g. SQL) and database management.
• Knowledge of version control systems (e.g. Git) and collaborative development practices.
• Working knowledge on backend integration via APIs (REST JSON over HTTP etc.) Experience with RUnit for testing an d REST APIs
• Excellent problemsolving skills and the ability to analyze and interpret complex datasets.
• Experienced in working on clinical trial datasets and R Validation packages Working experience with CDISC (Clinical Data Standards)

• Expertise in one or more scripting languages such as Python.
• Experience with SAS to R migrations.
• Experience with cloud computing platforms such as AWS Azure or Google Cloud Platform
• Experience in building or working on Pharmaverse applications (eg. admiral logrx metacore metatools etc.)

r,data,python,sql,data visualization,data manipulation,datasets,git,rest,data engineering,data science