R Shiny Programmer/Senior Programmer - Clinical Data Management (2-8 yrs)

Primary Purpose:

We are seeking a talented R Shiny programmer to develop interactive reports that translate clinical trial data into clinical insights. 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 2 to 8 years relevant experience.

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.