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Flex R Shiny Developer Jobs (NOW HIRING)

CEDENT

R Programmer

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio ...

Cedent

R Programmer (Washington, DC)

Washington, DC · On-site

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. * 3+ years solid development experience in R, R packages, RStudio, RStudio ...

CEDENT

R Programmer (Washington, DC)

Washington, DC · Remote

Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... & DevOps functions. 3+ years solid development experience in R, R packages, RStudio, RStudio ...

Contemporaries

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Data Scientist

Durham, NC · Remote

$51 - $58/hr

... R programming language * Experience working with large-scale geospatial or environmental datasets * Experience developing dashboards or interactive visualizations using R Shiny * Experience with ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Develop bioinformatics pipelines using parallel programming capabilities through workflow tools ... Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage ...

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Flex R Shiny Developer information

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How much do flex r shiny developer jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for flex r shiny developer in the United States is $49.33, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $67.31 per hour, depending on experience, location, and employer.

What are Flex R Shiny Developers?

Flex R Shiny Developers are professionals who specialize in building interactive web applications using R, particularly leveraging the Shiny package. They often focus on creating flexible, user-friendly dashboards and data visualization tools for data analysis and reporting needs. These developers typically have strong skills in R programming, UI/UX design within Shiny, and may integrate other tools or frameworks to enhance app performance and appearance. Their expertise is valuable for organizations that need dynamic data-driven applications, especially in research, healthcare, and business analytics.

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

To thrive as a Flex R Shiny Developer, you need strong programming skills in R, proficiency in building interactive web applications with Shiny, and a solid understanding of data analysis or statistics. Experience with version control systems like Git, familiarity with front-end technologies (HTML, CSS, JavaScript), and knowledge of deployment tools such as Shiny Server or Docker are often required. Effective communication, problem-solving abilities, and the capacity to work collaboratively with stakeholders are valuable soft skills in this role. These competencies are vital for developing robust, user-friendly data applications that meet organizational needs and support effective decision-making.

How does a Flex R Shiny Developer typically collaborate with data scientists and stakeholders during a project lifecycle?

As a Flex R Shiny Developer, you play a key role in bridging the gap between data science teams and end-users or business stakeholders. You'll frequently work alongside data scientists to understand analytical objectives and translate them into interactive Shiny applications that visualize and communicate data insights effectively. Regular collaboration with stakeholders is essential to gather requirements, iterate on user interface designs, and ensure the applications meet user needs. Effective communication and adaptability are critical, as project priorities may shift and requirements can evolve rapidly throughout the development process.

What is the difference between Flex R Shiny Developer vs R Shiny Developer?

AspectFlex R Shiny DeveloperR Shiny Developer
Required SkillsProficiency in R, Shiny, and Flexbox/CSS for responsive designStrong R and Shiny skills, basic CSS knowledge
Work EnvironmentCollaborates with UI/UX teams, often in flexible, dynamic projectsFocuses on developing interactive dashboards primarily in R
Industry UsageUsed in data visualization, analytics, and web app developmentPrimarily in data science, analytics, and reporting

Flex R Shiny Developers specialize in creating responsive, flexible web applications using R and Shiny, with an emphasis on UI design with CSS and Flexbox. R Shiny Developers focus on building interactive dashboards and data apps in R. While both roles require strong R and Shiny skills, Flex R Shiny Developers also have expertise in front-end responsiveness, making them suitable for projects requiring adaptable interfaces.

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Flex R Shiny Developer jobs near you

R Shiny Developer

Texas State Library and Archives Commision

Remote

Full-time

Posted 17 days ago

Job description

Required Skills : Technical Skills : R Shiny ,R Studio
Domain Skills : 5. Nice to have skills : Technical Skills : PL/SQL ,3NF data modeling Domain Skills : Research and Development
Technology : Analytics
Roles & Responsibilities : As a Technical Lead, you will be responsible for leading a team of developers, designing and implementing technical solutions, conducting code reviews, and providing technical guidance and mentorship. You will collaborate with cross-functional teams to ensure the successful delivery of projects and contribute to the overall technical strategy of the organization.
Key Responsibilities:
1. R Shiny Application Development: Create and maintain interactive web applications using R Shiny, allowing end-users to visualize and interact with data in an intuitive manner.
2. Data Visualization: Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user-friendly dashboards, charts, and reports.
3. Front-End Development: Implement responsive and user-friendly user interfaces using HTML, CSS, and JavaScript to enhance the user experience.
4. Data Integration: Integrate data from various sources, including databases, APIs, and flat files, ensuring data accuracy and reliability.
5. Performance Optimization: Identify and resolve performance bottlenecks in Shiny applications to ensure smooth and efficient user interactions.
6. Quality Assurance: Conduct thorough testing and debugging of Shiny applications to ensure functionality, reliability, and security.
7. Documentation: Maintain comprehensive documentation for code, applications, and processes to facilitate knowledge sharing and team collaboration.
8. Collaboration: Collaborate with cross-functional teams, including data scientists, analysts, and project managers, to understand project requirements and deliver solutions that meet business objectives.
9. Stay Current: Stay updated on the latest trends and best practices in R Shiny development and data visualization to continuously improve our applications.

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