As an R Shiny programmer you will design, develop, deploy, and optimize user-friendly interactive web applications for clinical data analysis and visualization
You will work closely with data scientists, bioinformatics programmers and analysts as well as stakeholders to understand application requirements and translate them into intuitive R Shiny applications
Responsibilities
Design, develop, test, and deploy interactive R Shiny web applications
Collaborate with data scientists and analysts to understand data and user requirements
Translate complex data analysis and visualization tasks into clear and user-friendly interfaces
Write clean, efficient, and well-documented R code, conduct R code reviews, and R programming validation
Integrate R Shiny applications with AWS services such as AWS Redshift
Implement unit tests and ensure the quality and performance of applications
Benchmark and optimize application performance
Identify inconsistencies and initiate resolution of data, analytical, or reporting problems
Other responsibilities as assigned
Qualifications
Bachelor s degree in Computer Science, Data Science, or a related field, and 3 to 8 years relevant experience
Proven experience building R Shiny applications
Strong proficiency in R programming, including data manipulation, statistical analysis, and data visualization
Experience in using SQL
Understanding of user interface (UI) and user experience (UX) principles Experience with gathering requirements and translating them into applications
Experience using RStudio and Version Control software (Git, SVN, or similar) to manage programming code
Ability to manage multiple tasks
Ability to work independently, as well as in a team environment
Ability to effectively communicate technical concepts, in both written and oral format
Experience with POSIT Workbench, Connect, and/or Package Manager Experience with R markdown, Experience with continuous integration/continuous delivery (CI/CD) pipelines Experience with AWS cloud computing services such as Redshift, EC2, S3, and CloudWatch
