

R Shiny Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an R Shiny Developer with 8-10 years of SAS experience, requiring advanced R programming skills and strong clinical domain knowledge. The contract is onsite in Lawrenceville, NJ, with a pay rate of "pay rate" for "contract length."
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
-
ποΈ - Date discovered
June 13, 2025
π - Project duration
Unknown
-
ποΈ - Location type
On-site
-
π - Contract type
Unknown
-
π - Security clearance
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Visualization #R #SAS #Data Pipeline #Datasets #SQL (Structured Query Language) #Base #Programming #Macros #Data Exploration
Role description
Heading 1
Heading 2
Heading 3
Heading 4
Heading 5
Heading 6
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
Block quote
Ordered list
- Item 1
- Item 2
- Item 3
Unordered list
- Item A
- Item B
- Item C
Bold text
Emphasis
Superscript
Subscript
Role Overview:
As an R Shiny Developer with SAS, you'll build dynamic dashboards and applications using R Shiny, integrating datasets from SAS and optimizing data pipelines for analytics and reporting. Your work will support key decision-making in clinical and regulated domains.
Key Responsibilities:
β’ Develop and deploy interactive R Shiny dashboards for data exploration.
β’ Integrate SAS outputs (.sas7bdat, PROC SQL results) into R workflows.
β’ Automate reporting using R scripts based on SAS datasets.
β’ Use packages like haven, RODBC, or sas7bdat to bridge data systems.
β’ Apply statistical techniques using both R and SAS for analytics.
β’ Optimize end-to-end data pipelines in clinical or healthcare settings.
Required Skills:
β’ Advanced R programming skills (Shiny, tidyverse, data.table)
β’ Experience with RStudio Connect or R Shiny Server
β’ 8-10 years of SAS experience (Base SAS, macros,
β’ PROC SQL)
β’ Strong clinical domain knowledge (preferably in pharma/ biotech)
β’ Ability to work onsite in Lawrenceville, NJ (5 days/ week)
β’ Common Use Cases:
β’ Clinical trial data visualization in pharma
β’ Healthcare analytics dashboards combining legacy and modern tools
β’ Regulatory or financial reporting platforms in life sciences