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From Home 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 ...

Skillify Solutions

Python/R Analyst

Richmond, TX · On-site

Use R packages such as tidyverse, dplyr, ggplot2, and Shiny for analysis and visualization ... Collaborate with business stakeholders, data engineers, and technical teams to understand ...

Medpace, Inc.

Shiny App Developer

Irving, TX · On-site +1

Programming experience in R or Python; * Work experience with clinical data; * Experience building ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Medpace, Inc.

Shiny App Developer

Irving, TX · On-site

Programming experience in R or Python; * Work experience with clinical data; * Experience building ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Ruri Software Technologies LLC

DevOps Engineer

Pleasanton, CA · On-site

$58.50 - $80.25/hr

Manage lifecycle of products and services from inception to deployment and support Skills: Please ... Specific knowledge of and experience developing R/Shiny applications * Knowledge or usage of Shiny ...

Medpace, Inc.

Shiny App Developer

Cincinnati, OH · On-site +1

Programming experience in R or Python; * Work experience with clinical data; * Experience building ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

Medpace, Inc.

Shiny App Developer

Cincinnati, OH · On-site

Programming experience in R or Python; * Work experience with clinical data; * Experience building ... Office based culture with occasional WFH that provides flexibility for eligible positions after ...

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From Home R Shiny Developer information

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How much do from home r shiny developer jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for from home 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 is the difference between From Home R Shiny Developer vs From Home Data Analyst?

AspectFrom Home R Shiny DeveloperFrom Home Data Analyst
Required SkillsProficiency in R, Shiny, data visualizationData analysis, Excel, SQL, visualization tools
Work EnvironmentRemote, project-basedRemote, reporting-focused
Industry UsageTech, healthcare, financeMarketing, finance, consulting

While both roles often work remotely and require data skills, From Home R Shiny Developers focus on building interactive web applications using R, whereas From Home Data Analysts analyze data sets to generate insights. The developer role emphasizes coding and app deployment, while the analyst role centers on data interpretation and reporting.

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From Home R Shiny Developer jobs near you
Infographic showing various From Home R Shiny Developer job openings in the United States as of September 2026, with employment types broken down into 2% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

R Shiny Developer

Remote

Texas State Library and Archives Commision
Libraries and Archives • 201 - 500 employees
Learn more about Texas State Library and Archives Commisionexternal

Full-time

This job post has expired 1 day 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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