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

Principal R Programmer

Durham, NC ยท 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 ยท 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 ...

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 ...

... 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.

Quantitative Associate

Durham, NC ยท 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 ...

ESSENTIAL DUTIES AND RESPONSIBILITIES Under the direction of senior members of the team, this ... Working knowledge of Python, R, SAS, and SQL. * Knowledge of Git-based machine learning operations ...

Sr Software Developer- AI & Automation Solutions

Cary, NC ยท On-site +1

$51 - $67.25/hr

Senior Software Developer - AI & Automation Solutions- Hybrid, Cary, North Carolina or Remote in ... R&D. * Be encouraged to participate in open-source projects on behalf of SAS. * Ensure all ...

Sr Software Developer- AI & Automation Solutions

Cary, NC ยท On-site +1

$51 - $67.25/hr

Senior Software Developer - AI & Automation Solutions- Hybrid, Cary, North Carolina or Remote in ... R&D. * Be encouraged to participate in open-source projects on behalf of SAS. * Ensure all ...

Senior PAS-X MES Engineer

Raleigh, NC ยท Hybrid

$101K - $139K/yr

R.E. Mason and Apperture Solutions . Apperture Solutions is a technology independent, professional ... The Senior PAS-X MES Engineer will be a significant contributor and often the lead technical ...

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Senior R Shiny Developer information

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

To thrive as a Senior R Shiny Developer, you need advanced proficiency in R programming, strong experience in building interactive Shiny applications, and a solid background in data analysis or statistics, often supported by a relevant degree. Familiarity with version control systems like Git, deployment tools (such as Docker or Shiny Server), and knowledge of front-end web technologies (HTML, CSS, JavaScript) are typically required. Strong problem-solving abilities, effective communication, and the capacity to collaborate with multidisciplinary teams distinguish top performers in this role. These skills ensure the delivery of robust, user-friendly data applications that meet complex business needs and facilitate data-driven decision-making.

What is a senior R Shiny developer?

Senior R Shiny Developers are experienced professionals who design, develop, and maintain interactive web applications using R and the Shiny framework. They are responsible for creating user-friendly dashboards, data visualizations, and analytical tools, often for data-driven organizations. In addition to strong R programming skills, they typically have expertise in front-end technologies, data management, and deploying Shiny applications to production environments. Senior developers often mentor junior team members and collaborate with stakeholders to deliver robust and scalable solutions.

What is the difference between Senior R Shiny Developer vs Data Scientist?

AspectSenior R Shiny DeveloperData Scientist
Required CredentialsBachelor's or higher in Computer Science, Data Science, or related fields; experience with R and ShinyBachelor's or higher in Data Science, Statistics, or related fields; proficiency in R, Python, and statistical modeling
Work EnvironmentDevelops interactive dashboards and web apps for data visualization in tech, finance, healthcareAnalyzes data, builds predictive models, and interprets results across various industries
Employer & Industry UsageTech companies, consulting firms, healthcare, financeResearch institutions, tech firms, finance, healthcare, academia

While both roles require strong R skills and data understanding, Senior R Shiny Developers focus on creating interactive web applications, whereas Data Scientists analyze data and develop models. The roles often overlap in data-driven environments but differ in primary responsibilities.

How does a senior R Shiny developer typically collaborate with data scientists and business stakeholders on projects?

A Senior R Shiny Developer often acts as a bridge between data scientists, who provide complex analyses and models, and business stakeholders, who need actionable insights. They work closely with data scientists to understand requirements, interpret datasets, and ensure effective integration of analytical results into interactive Shiny applications. Collaboration with stakeholders involves gathering feedback, translating business needs into technical features, and iteratively refining dashboards or tools to improve usability and value. This role requires strong communication skills and the ability to manage expectations while delivering functional, scalable solutions.
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:
What are popular job titles related to Senior R Shiny Developer jobs in North Carolina? For Senior R Shiny Developer jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Senior R Shiny Developer jobs in North Carolina look for? The top searched job categories for Senior R Shiny Developer jobs in North Carolina are:
Infographic showing various Senior R Shiny Developer job openings in North Carolina as of July 2026, with employment types broken down into 83% Full Time, 6% Part Time, 1% Temporary, and 10% Contract. Highlights an 81% Physical, 4% Hybrid, and 15% Remote job distribution.

Computer Programmer (51696)

GAP SOLUTIONS INC

Durham, NC โ€ข On-site

Full-time

Re-posted 14 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 improvingย 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:

  • Bachelorโ€™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.ย ย 

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.