R Shiny ,R Studio Domain Skills : 5. Nice to have skills : Technical Skills : PL/SQL ,3NF data ... Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user ...
R Shiny ,R Studio Domain Skills : 5. Nice to have skills : Technical Skills : PL/SQL ,3NF data ... Collaborate with data scientists, analysts, and stakeholders to design visually compelling and user ...
R Developer
Herndon, 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 ...
R Developer
Herndon, 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 ...
Be Seen First
Data Scientist
Durham, NC · Remote
$51 - $58/hr
Utilize the Amadeus R-package to support data sourcing and environmental research workflows * Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting * Assist ...
Quick apply
Be Seen First
Data Scientist
Durham, NC · Remote
$51 - $58/hr
Utilize the Amadeus R-package to support data sourcing and environmental research workflows * Develop and maintain interactive R Shiny dashboards for HEW datasets and scientific reporting * Assist ...
R Programmer
Washington, DC · Remote
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... environment with local and remote groups.
R Programmer
Washington, DC · Remote
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... environment with local and remote groups.
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... Ability to independently research and resolve technical problems in a complex IT environment with ...
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... Ability to independently research and resolve technical problems in a complex IT environment with ...
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... Ability to independently research and resolve technical problems in a complex IT environment with ...
Develop data science tool with R Shiny as the web framework and deploy the artifacts into RStudio ... Ability to independently research and resolve technical problems in a complex IT environment with ...
Contribute to open-source and internal tooling - including R Shiny / teal modules, R packages, SAS ... Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a ...
Contribute to open-source and internal tooling - including R Shiny / teal modules, R packages, SAS ... Bachelor's or Master's degree in Statistics, Computer Science, Mathematics, Life Sciences, or a ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
Data Scientist
Cambridge, MA · On-site
... data science stack of tools: R/Python, notebooks and git • Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework • Experience working with omics data ...
Data Scientist
Cambridge, MA · On-site
... data science stack of tools: R/Python, notebooks and git • Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework • Experience working with omics data ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
Junior Data Scientist
Arlington, VA · On-site
$100K - $120K/yr
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Quick apply
Junior Data Scientist
Arlington, VA · On-site
$100K - $120K/yr
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Junior Data Scientist
Arlington, VA · On-site
$100K - $120K/yr
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Junior Data Scientist
Arlington, VA · On-site
$100K - $120K/yr
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Junior Data Scientist
Arlington, VA · Hybrid
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Junior Data Scientist
Arlington, VA · Hybrid
Required Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science ... R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages. * SQL experience ...
Data Scientist
Cambridge, MA · On-site
... data science stack of tools: R/Python, notebooks and git • Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework • Experience working with omics data ...
Data Scientist
Cambridge, MA · On-site
... data science stack of tools: R/Python, notebooks and git • Experience with R Shiny, Dash, Plotly, Streamlit, or other reactive visualization framework • Experience working with omics data ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... R/Shiny apps), and business intelligence platforms (e.g., Tableau, SharePoint, PowerBI), and ... Qualifications Standard for Data Science Series, 1560 Basic Requirements: A. Degree: Mathematics ...
... environments is preferred. Required Skills * Dashboard and report development * Tableau * Power BI * R and R Shiny * Python visualization libraries * D3 and interactive visualization methods * Data ...
Quick apply
... environments is preferred. Required Skills * Dashboard and report development * Tableau * Power BI * R and R Shiny * Python visualization libraries * D3 and interactive visualization methods * Data ...
Data Analyst - Inter
Chicago, IL · On-site
Degree specialized in a Science, Technology, Engineering, or Mathematics discipline * Experience with Python, SQL, Unix/Linux, Databricks, Tableau, R Shiny and Github * Experience with Amazon Web ...
Data Analyst - Inter
Chicago, IL · On-site
Degree specialized in a Science, Technology, Engineering, or Mathematics discipline * Experience with Python, SQL, Unix/Linux, Databricks, Tableau, R Shiny and Github * Experience with Amazon Web ...
Environmental Science R Shiny information
See salary details
$41K - $48.5K
7% of jobs
$48.5K - $55.9K
4% of jobs
$55.9K - $63.4K
5% of jobs
$63.4K - $70.8K
5% of jobs
$75.5K is the 25th percentile. Wages below this are outliers.
$70.8K - $78.3K
4% of jobs
The median wage is $82.6K / yr.
$78.3K - $85.7K
40% of jobs
$85.7K - $93.2K
3% of jobs
$94.6K is the 75th percentile. Wages above this are outliers.
$93.2K - $100.6K
24% of jobs
$100.6K - $108.1K
2% of jobs
$108.1K - $115.5K
2% of jobs
$115.5K - $123K
1% of jobs
$41K
$84.1K
$123K
How much do environmental science r shiny jobs pay per year?
As of Jun 4, 2026, the average yearly pay for environmental science r shiny in the United States is $84,123.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $98,500.00 per year, depending on experience, location, and employer.
What are the key skills and qualifications needed to thrive as an Environmental Science R Shiny Specialist, and why are they important?
To thrive as an Environmental Science R Shiny Specialist, you need a solid background in environmental science, statistical analysis, and data visualization, usually supported by a relevant degree. Expertise in R programming, especially with Shiny for building interactive web applications, and familiarity with GIS tools and data management systems are essential. Strong problem-solving, communication, and project management skills help you translate complex environmental data into actionable insights for diverse audiences. These skills are crucial for creating impactful tools that support research, policy, and decision-making in environmental science.
How does an Environmental Science R Shiny developer typically collaborate with scientists and stakeholders during a project?
Environmental Science R Shiny developers often work closely with research scientists, data analysts, and project managers to translate complex environmental data into interactive visualizations and dashboards. Collaboration typically involves regular meetings to gather requirements, iterative feedback sessions on prototypes, and integrating domain-specific knowledge to ensure the application's accuracy and usability. Effective communication skills are essential, as developers must bridge the gap between technical capabilities and scientific objectives, often explaining technical decisions to non-technical stakeholders and adapting solutions based on user feedback.
What is an Environmental Science R Shiny specialist?
An Environmental Science R Shiny specialist is a professional who uses the R programming language and its Shiny framework to create interactive web applications for analyzing, visualizing, and sharing environmental data. These specialists often work on projects related to climate change, pollution, conservation, or ecosystem modeling, making complex datasets more accessible to researchers, policymakers, and the public. Their role bridges environmental science and data science, helping communicate findings and support decision-making through intuitive digital tools.
Are environmental science jobs in high demand?
Environmental science jobs, including roles involving R Shiny for data analysis and visualization, are in increasing demand due to growing environmental concerns and the need for data-driven decision making. Skills in data analysis, GIS, and environmental modeling enhance employability in this field, which is expected to grow as organizations prioritize sustainability and environmental compliance.
What is the difference between Environmental Science R Shiny vs Environmental Data Analyst?
| Aspect | Environmental Science R Shiny | Environmental Data Analyst |
|---|---|---|
| Required Credentials | Bachelor's or Master's in Environmental Science, Data Science, or related fields; proficiency in R and Shiny | Bachelor's or Master's in Environmental Science, Data Analysis, or related fields; strong skills in R, Python, and data visualization |
| Work Environment | Research labs, environmental agencies, or consulting firms; focus on developing interactive dashboards | Data-focused roles in government, NGOs, or private sector; analyzing environmental data sets |
| Employer & Industry Usage | Used by environmental scientists and data specialists to create user-friendly apps | Employed to interpret environmental data, generate reports, and support decision-making |
Environmental Science R Shiny professionals develop interactive web applications to visualize environmental data, while Environmental Data Analysts focus on analyzing and interpreting data sets. Both roles require similar educational backgrounds and skills in R, but their primary functions differ: one creates tools for data presentation, the other analyzes data for insights.
Full-time
Posted 7 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.
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.