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Junior R Shiny Developer Jobs in North Carolina (NOW HIRING)

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

Principal R Programmer

Durham, NC · On-site

$98K - $273K/yr

Must have advanced R programming skills, including tidyverse, ggplot2, Markdown, Quarto, Shiny, etc. Python and/or SAS programming skills are a plus, but not required. * Knowledge of CDISC standards ...

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

... Engineering, or Mathematics. * A demonstrated passion for investing and a strong desire to learn ... Experience building dashboards and data visualizations using tools like R Shiny, Python Dash ...

... Engineering, or Mathematics. * A demonstrated passion for investing and a strong desire to learn ... Experience building dashboards and data visualizations using tools like R Shiny, Python Dash ...

... R shiny preferred). * Able to write complex join, union, pivot, common table expression query ... BA/BS degree, preferably in a Science, Technology, Engineering, Mathematics (STEM) or another field.

ASRC Federal Agile Decision Sciences is seeking a Junior Logistics Analyst with an aptitude for ... programming languages such as SAS strongly preferred ; SPSS, Python or R is a plus. * Any ...

ASRC Federal Agile Decision Sciences is seeking a Junior Logistics Analyst with an aptitude for ... programming languages such as SAS strongly preferred ; SPSS, Python or R is a plus. * Any ...

... R Programming, Python, Spark • Statistical & Data Management Packages - Python - Pandas, Numpy ... • Visualization - Tableau, Shiny, ggplot2, dygraphs, matplotlib, seaborn • Big Data ...

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Junior R Shiny Developer information

What is the difference between Junior R Shiny Developer vs Data Analyst?

AspectJunior R Shiny DeveloperData Analyst
Required SkillsProficiency in R, Shiny, basic programmingData manipulation, statistical analysis, visualization
Work EnvironmentDeveloping interactive web apps, codingData interpretation, reporting, dashboards
Industry UsageTech, healthcare, finance for app developmentBusiness, marketing, finance for insights

While both roles involve working with data, a Junior R Shiny Developer primarily focuses on creating interactive web applications using R and Shiny, requiring coding skills. In contrast, a Data Analyst interprets data, generates reports, and provides insights, often using tools like Excel, SQL, or visualization software. The roles overlap in data handling but differ in technical depth and end goals.

What are the key skills and qualifications needed to thrive as a Junior R Shiny Developer, and why are they important?

To excel as a Junior R Shiny Developer, you need a solid understanding of R programming, data analysis, and basic web development concepts, typically supported by a degree in computer science, statistics, or a related field. Familiarity with the Shiny package, Git version control, and data visualization tools like ggplot2 is commonly required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills for this role. These competencies ensure the delivery of robust, user-friendly data applications that meet client or organizational needs.

What are Junior R Shiny Developers?

Junior R Shiny Developers are entry-level professionals who build interactive web applications using the R programming language and the Shiny framework. They typically work under the guidance of senior developers to design, develop, and maintain data-driven dashboards and tools. Their tasks often include writing R code, creating user interfaces, visualizing data, and ensuring applications run smoothly. This role is ideal for individuals with a background in statistics, data analysis, or programming who are looking to gain experience in web development and data science applications.

What are some common challenges faced by Junior R Shiny Developers during project development?

Junior R Shiny Developers often encounter challenges related to translating user requirements into interactive web applications, managing reactivity efficiently, and ensuring application performance with larger datasets. Navigating unfamiliar codebases, debugging reactive expressions, and learning best practices for UI/UX design in Shiny are also typical hurdles. Collaborating closely with data scientists and end users is essential to refine features and ensure the app meets practical needs, so strong communication and a willingness to learn from feedback are key to success in this role.
What are the most commonly searched types of R Shiny Developer jobs in North Carolina? The most popular types of R Shiny Developer jobs in North Carolina are:
Infographic showing various Junior R Shiny Developer job openings in North Carolina as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 2% Temporary, and 11% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Full-time

Re-posted 9 days ago


Job description

Position Objective: The Computer Programmer will independently provide support services to satisfy the overall operational objectives of the National Institute on Environmental Health Sciences (NIEHS) within the National Institutes of Health (NIH). Specifically, this position will support efforts by the NIEHS Office of Data Science to advance the application of scientific data towards improving public health.

Duties and Responsibilities:

  • Develop scientific web- and data-centric applications for collecting, processing, managing, analyzing, and visualizing scientific data
  • Deploy web and software applications to servers, including on Linux systems using Docker
  • Deploy applications to systems using Docker
  • Document in-house software and documentation for training and reference purposes
  • Support and troubleshoot Shiny and Django deployments and Docker image builds
  • Perform various Linux sysadmin tasks associated with deploying and customizing web and scientific application deployments
  • Analyze and visualize biomedical data eg, transcriptomics using tools such as Partek, JMP, BMDExpress and Cytoscape
  • Visualize data using ggplot2 and plotly
  • Develop custom analysis pipelines using drake and other pipeline technologies
  • Produce automated reports in R markdown using knitr and pandoc
  • Monitor, evaluate, test, report on, and provide critical assessment of emerging technologies, approaches, and tools relevant to the ODS mission
  • Develop scientific applications using R, Shiny andor Python
  • Develop web applications to Linux servers
  • Deploy applications to systems; manage library dependencies
  • Use analytic methods to solve real world problems
  • Analyze and write statistical computer code
  • Collaborate with staff to develop, test, refine and apply advanced statistical and computational methods
  • Evaluate new analytic methods and software and adapt them if necessary
  • Work with staff to develop, test and refine novel programming methods, toolkits, and algorithms
  • Design and implement computer solutions to novel experimental paradigms
  • Conceive of and create data processing pipelines that allow for the efficient movement, pre-processing and display of data
  • Provide technical experience reviewing, analyzing, and modifying existing programming systems
  • Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology
  • Maintain and monitor applications, databases, or software tools
  • Test and install the software updates
  • Documents all assignments and creates various reports as needed.
  • Maintain and follow SOPs, configuration management, upgrades and availability
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
  • Writes and maintains program documentation.
  • Maintain and follow SOPs, configuration management, upgrades and availability
  • Provide written technical descriptions of implemented algorithms; contribute to the publication of the labs software and research
  • Manage and troubleshoot deployments and image builds
  • Develop new code and refine troubleshoot existing code
  • Troubleshoot scripts and programs to ensure successful use of said scripts and programs
  • Document in-house software for training and reference purposes
  • Provide support for development of methods in data science
  • Work with staff on literature reviews of analytic methods that have been applied across a broad range of scientific fields in order to identify the most useful methods to be applied
  • Implement improvements to development activities to speed development of applications, databases, or software tools
  • Plan, build and maintain applications to meet end users need
  • Work with investigators to design the prototypes and implement the systems to support various in-house research projects
  • Troubleshoots any issues or problems and implements appropriate corrective actions.
  • Manage and troubleshoot deployments and image builds
  • Develop new code and refine troubleshoot existing code
  • Document in-house software for training and reference purposes
  • Provides guidance and problem resolution for users.
  • Support hardware and biological software by providing technical support to staff
  • Implement improvements to development activities to speed development of applications, databases, or software tools
  • Develop and implement new or major revisions to applications, databases, or software tools
  • Implement improvements to operations
  • Visualize data using ggplot2 and plotly
  • Work with staff to improve efficiency of the current data processing by creating new programming approaches
  • Work with staff on data retrieval from various data sources
  • Work products and documents related to developing scientific applications; deploying web applications; deploying applications to systems using containers; manage library dependencies.
  • Work products and documents related to documenting in-house software for training and reference purposes; manage and troubleshoot application deployments and image builds.
  • Work products and documents related to performing various Linux sysadmin tasks associated with web and scientific application deployments; analyzing and visualizing biological data using tools; visualizing data using custom, free, and commercial software
  • Work products and documents related to developing custom analysis pipelines using various pipeline technologies; produce automated reports.

Basic Qualifications:

  • Bachelor’s degree with a field of study in Life Sciences, Computer Science, Information Science, or similar
  • 2 years of relevant experience

Preferred Qualifications:

  • Ability to multi-task and pay close attention to detail.
  • Excellent analytical, organizational and time management skills.
  • Strong communication skills, both oral and written.

*This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required by this position.  

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

GAP Solutions provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job us at recruiting@gapsi.com. You will need to reference the requisition number of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a requisition number will not be returned.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by law.

This position is contingent upon contract award.