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The R Shiny Developer Jobs (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

... Summary The Junior Data Scientist / Performance Data Analyst I supports a federal Management ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...

Cummins Inc.

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP ...

New

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP ...

New

Cummins

Data Scientists - Seniors #IN1290

Columbus, IN · On-site +1

$115K - $158K/yr

... the design of analytical products. Identify relationships with patterns in data by using a suite of data exploration and data visualization techniques using tools such as PowerBI, R Shiny, SAS JMP ...

New

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All JobsThe R Shiny Developer Jobs

The R Shiny Developer information

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$49

$88

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

As of Jun 12, 2026, the average hourly pay for the 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 The R Shiny Developer vs Data Analyst?

AspectThe R Shiny DeveloperData Analyst
Required skillsProficiency in R, Shiny, data visualization, web app developmentData manipulation, statistical analysis, Excel, SQL
Work environmentDeveloping interactive web applications, coding, software projectsData interpretation, reporting, business insights
Industry usageTech, healthcare, finance, researchMarketing, finance, healthcare, consulting

The R Shiny Developer focuses on building interactive web applications using R and Shiny, often requiring coding and software development skills. Data Analysts analyze data sets to generate reports and insights, typically using statistical tools and data visualization. While both roles work with data, the R Shiny Developer emphasizes application development, whereas Data Analysts focus on data interpretation and reporting.

Infographic showing various The R Shiny Developer job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 74% Part Time, 3% Temporary, and 20% Contract. Highlights an 84% Physical, 2% Hybrid, and 14% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.
Data Scientist IV

Data Scientist IV

University of Pittsburgh

Pittsburgh, PA • On-site

Full-time

Posted 12 days ago

Job description

Essential Functions
Provides subject matter expertise in data manipulation, statistical data methodologies, data analysis, and development of new data science methods. Collaborates with principal investigators or study sponsors on high-level study design, data collection, data set analysis, protocol development, statistical analysis and inference, and report writing and presentations for internal and external audience. Leads development of complex analytical plans, creates systems for data monitoring, provides high-level statistical support, utilizes statistical software, creates research study reports, and contributes to manuscripts, grants, and scientific presentations. Adheres to all protocols.
Physical Effort
Lead the management, integration, and quality assurance of large-scale analytic datasets, collaborating with data managers at partner institutions to ensure consistency, harmonization, and reproducibility across sites.
Design and implement sophisticated statistical analyses, including multilevel/hierarchical modeling, longitudinal analyses, and spatial methodologies to address complex research questions.
Contribute to and help drive peer-reviewed publications, including drafting and refining statistical analysis sections and ensuring methodological rigor.
Partner closely with investigators, faculty, and trainees to develop analytic strategies, refine research questions, and guide the execution and interpretation of analyses.
Apply advanced SAS programming skills, with experience or interest in working with neighborhood-level, geospatial, and census-linked data.
Produce high-quality, publication-ready figures and tables using tools such as ggplot2, matplotlib, Tableau, or similar visualization platforms.
Translate complex analytical outputs into clear, compelling visualizations and summaries, making findings accessible to non-technical stakeholders.
Develop or support the development of interactive data products and dashboards (e.g., R Shiny, Quarto, or similar tools) to enhance dissemination and stakeholder engagement.

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