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Internship R Shiny Jobs (NOW HIRING)

Duke University

Quantitative Associate

Durham, NC · On-site

$125K - $140K/yr

... R Shiny, Python Dash, Tableau, or Power BI. * Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required. * Prior internship or project ...

Duke University

Quantitative Associate

Durham, NC

$125K - $140K/yr

... R Shiny, Python Dash, Tableau, or Power BI. * Familiarity with financial markets, different asset classes, and investment concepts is a plus, but not required. * Prior internship or project ...

Summary

Water Conservation Data Analyst

Vail, CO · On-site

... interactive tools (R, Quarto, Shiny) using version control, and audit and QC source data for ... and mentor interns and analysts on tools, methods, and best practices. * Communication ...

TransUnion

Data Science Platform Developer

Chicago, IL · On-site

Advanced programming skills for front-end ML application design (Shiny, Dash, Streamlit) and ML ... as R and Python; workflow and distributed processing frameworks (MLflow, Targets, Prefect, Ray ...

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How much do internship r shiny jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for internship r shiny in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship R Shiny?

Internship R Shiny positions are internship roles that focus on developing applications using R Shiny, a web application framework for R. Interns in these positions typically work on building interactive dashboards, data visualizations, and analytical tools to support business or research needs. They gain hands-on experience with R programming, web development concepts, and often collaborate with data scientists or analysts. These internships are ideal for students or recent graduates looking to enhance their technical skills and gain practical experience in data-driven environments.

What are the key skills and qualifications needed to thrive as an internship R Shiny?

To thrive as an Internship R Shiny, you need proficiency in R programming, familiarity with data analysis, and a basic understanding of statistics, often supported by coursework or projects in data science or a related field. Experience using R Shiny for building interactive web applications and knowledge of version control systems like Git are typically expected. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings clearly help interns stand out. These capabilities ensure the effective development of user-friendly analytical tools and efficient collaboration within data-driven teams.

What is the difference between Internship R Shiny vs Data Analyst Intern?

AspectInternship R ShinyData Analyst Intern
Required SkillsProficiency in R, Shiny, data visualizationExcel, SQL, basic statistical analysis
Work EnvironmentDeveloping interactive dashboards, coding in RData cleaning, reporting, and analysis
Industry UsageTech, healthcare, finance with focus on data appsVarious industries focusing on data insights

Internship R Shiny roles focus on building interactive web applications using R, requiring coding skills and data visualization expertise. Data Analyst Intern positions involve data cleaning, analysis, and reporting, often using Excel and SQL. While both roles involve working with data, R Shiny internships emphasize app development, whereas Data Analyst Internships focus on data interpretation and reporting.

What types of projects can an internship R Shiny developer expect to work on, and how are tasks typically structured?

As an R Shiny intern, you will often work on projects that involve creating interactive dashboards, data visualizations, and web applications for internal teams or clients. Tasks are typically structured in collaboration with data scientists and analysts, where you may be responsible for coding UI features, connecting to data sources, and ensuring responsiveness. You'll likely participate in agile workflows, attend regular team meetings, and receive mentorship to help you learn best practices in R programming and Shiny app development. This role provides a hands-on opportunity to see how data-driven insights are delivered to stakeholders and to build a portfolio of real-world applications.
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Internship R Shiny jobs near you
Infographic showing various Internship R Shiny job openings in the United States as of August 2026, with employment types broken down into 8% Internship, 1% As Needed, 65% Full Time, 24% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 1% Hybrid, and 12% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

Postdoctoral Fellow - Geospatial Data - 530173

The University of Alabama

Tuscaloosa, AL • On-site

$53K - $66K/yr

Full-time

Posted 2 days ago

New

University Of Alabama rating

7.1

Company rating: 7.1 out of 10

Based on 60 frontline employees who took The Breakroom Quiz

411th of 616 rated colleges and universities

Job description

Pay Grade/Pay Range:  Minimum: $53,500 - Midpoint: $66,900 (Salaried E8)

Department/Organization: 214231 - Civil Const and Env Engineering

Normal Work Schedule: Monday - Friday 8:00am to 5:00pm

Job Summary: The Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a mentor for the postdoctoral appointee.

Additional Department Summary: The Civil, Construction and Environmental Engineering Department at The University of Alabama, is seeking a candidate for a Postdoctoral position. This position is available to individuals with research interests in water quality, water security, and geospatial data analysis. The candidate will support CWQR research projects, including the development of a water security dashboard and engagement with water utilities.
Successful candidates will hold a terminal degree in Environmental Engineering or a related field and demonstrate a record of academic achievement in research. Initial appointments are for one year, with renewal contingent upon demonstration of research productivity and funding.

Required Department Minimum Qualifications: Ph.D. or other terminal degree in Environmental Engineering, Civil Engineering, Chemical Engineering, Water Resources, Geography/GIS, or a related field.
Candidates will need to have completed their Ph.D. or have it completed by the start of employment.

Skills and Knowledge: Experience with geographic information systems (GIS) and geospatial data analysis, designing and administering surveys, and managing and visualizing environmental data. Strong analytical chemistry skills are, including but not limited to LC-MS, ICP-OES and GC-MS.

Preferred Qualifications: Proficiency with GIS software (e.g., ArcGIS or QGIS) and dashboard or data-visualization tools (e.g., Power BI, Tableau, R Shiny, or Python-based frameworks). Experience with survey design and stakeholder engagement, database management, and water quality datasets.

Background Investigation Statement: Prior to hiring, the final candidate(s) must successfully pass a pre-employment background investigation and information obtained from social media and other internet sources. A prior conviction reported as a result of the background investigation DOES NOT automatically disqualify a candidate from consideration for this position. A candidate with a prior conviction or negative behavioral red flags will receive an individualized review of the prior conviction or negative behavioral red flags before a hiring decision is made.

Equal Employment Opportunity: The University of Alabama is an Equal Employment/Equal Educational Opportunity Institution. All qualified applicants will receive consideration for employment or volunteer status without regard to any legally protected basis and will not be discriminated against because of their protected status. Applicants and employees of this institution are protected under Federal law from discrimination on several bases. More information is available in the EEOC’s Know Your Rights: Workplace discrimination is illegal poster.

The University of Alabama affirms its longstanding commitment to institutional neutrality, free speech, and academic freedom.

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