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R Shiny 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 Connect via CI/CD. * Design, develop, test, and support R programs to execute modeling application ...

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 Connect via CI/CD. * Design, develop, test, and support R programs to execute modeling application ...

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 Connect via CI/CD. Design, develop, test, and support R programs to execute modeling application ...

Core One

Data Scientist

Tampa, FL

Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the ...

Core One

Data Scientist

Tampa, FL · On-site

Build digital solutions using programming applications (e.g., R, R/Shiny, Python) to digitalize and partially or fully automate data collection, analysis, and staff processes while accelerating the ...

Goldbelt Apex

Bioinformatician

Atlanta, GA · On-site

Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data * Submit monthly progress report, detailing ...

Goldbelt, Inc.

Bioinformatician

Atlanta, GA · On-site

Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data * Submit monthly progress report, detailing ...

Ruri Software Technologies LLC

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Specific knowledge of and experience developing R/Shiny applications * Knowledge or usage of Shiny Server Pro and/or RStudio * Knowledge of Nextflow or other workflow framework * Experience with ...

Goldbelt Apex

Bioinformatician

Atlanta, GA

Work with and/or develop dashboarding tools, including Power BI, Tableau, and R Shiny, to manage and visualize laboratory and epidemiological data * Submit monthly progress report, detailing ...

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience for querying, joining, filtering, and preparing datasets. * Tableau, Power BI, R Shiny, or similar ...

Premier Research

Provides technical direction and hands-on guidance for the design, development, and deployment of R Shiny applications (e.g., interactive review tools, safety/efficacy dashboards, TLF exploration ...

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R Shiny information

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How much do r shiny jobs pay per year?

As of Aug 28, 2026, the average yearly pay for r shiny in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is an R Shiny?

An R Shiny job typically involves developing interactive web applications using the Shiny package in R. Professionals in this role design user interfaces, build server logic, and integrate data visualization tools to create dynamic dashboards. These applications are used in industries such as healthcare, finance, and research to analyze and present data in an accessible way. Strong proficiency in R, Shiny, and web technologies like HTML, CSS, and JavaScript is often required.

What does an R Shiny developer do?

As an R Shiny Developer, your primary responsibilities often include designing, developing, and maintaining interactive web applications using R and Shiny to visualize and share data analytics results. You'll work closely with data scientists, analysts, and business stakeholders to understand requirements and translate complex data into user-friendly, actionable dashboards. The role may also involve optimizing app performance, integrating new features based on user feedback, and ensuring best practices for code quality and data security. Collaboration and clear communication are key, as you may contribute to multidisciplinary projects and offer support or training to end-users.

What skills and qualifications are needed to thrive as an R Shiny developer?

To thrive as an R Shiny Developer, you need strong proficiency in R programming, Shiny framework development, and experience in data visualization and analysis. Familiarity with additional tools such as JavaScript, HTML, CSS, and Git, along with certifications in data science or programming, is highly beneficial. Effective problem-solving, communication skills, and a collaborative mindset are important soft skills in this role. These qualifications enable you to efficiently create interactive data applications, work seamlessly with cross-functional teams, and deliver valuable insights to stakeholders.

What can I do with R Shiny?

R Shiny is a framework used by data analysts and developers to build interactive web applications directly from R. It allows users to create dashboards, data visualizations, and data-driven tools that can be shared via web browsers, often requiring knowledge of R programming and web development concepts. R Shiny roles typically involve designing user interfaces, coding server logic, and deploying applications on servers or cloud platforms.

What cities are hiring for R Shiny jobs?

Cities with the most R Shiny job openings:

What are the most commonly searched types of R Shiny jobs?

The most popular types of R Shiny jobs are:

What states have the most R Shiny jobs?

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R Shiny jobs near you
Infographic showing various R Shiny job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 71% In-person, and 29% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

R Shiny Developer

Texas State Library and Archives Commision

Remote

Full-time

This job post has expired 2 days ago. Applications are no longer accepted.

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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