ZipRecruiter

Log In

1

R Shiny Jobs (NOW HIRING)

Samprasoft

R Analytics Developer

Reston, VA · On-site

R Apps are built on Shiny * Moving these apps to Cloud * These are Data Science apps. * Work with business teams, capture requirements, and migrate to cloud. * Understand what tools will be used in ...

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 ...

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 ...

next page

Showing results 1-20

All JobsR Shiny Jobs

R Shiny information

See salary details

$37.5K

$122.7K

$196.5K

How much do r shiny jobs pay per year?

As of Jun 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 are the key skills and qualifications needed to thrive in the R Shiny position, and why are they important?

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 is an R Shiny job?

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 are some typical responsibilities of an R Shiny Developer on a data science team?

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.

More about R Shiny jobs
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? States with the most job openings for R Shiny jobs include:
What job categories do people searching R Shiny jobs look for? The top searched job categories for R Shiny jobs are:
R Shiny jobs near you
Infographic showing various R Shiny job openings in the United States as of June 2026, with employment types broken down into 55% Full Time, 18% Part Time, and 27% Contract. Highlights an 64% In-person, and 36% 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

Posted yesterday

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.

Apply