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Internship R Shiny Jobs (NOW HIRING)

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 ...

New

Copart, Inc.

Data Science Analyst

Dallas, TX · On-site

Technical Skills- R, Python, SQL, Google Cloud (GCP), AWS Proficiency in data sourcing/manipulation ... ggplot2, shiny) Experience with both supervised and unsupervised modeling techniques. Benefits ...

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How much do internship r shiny jobs pay per hour?

As of Jul 18, 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 are Internship R Shiny positions?

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, and why are they important?

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 July 2026, with employment types broken down into 9% Internship, 1% As Needed, 68% Full Time, 20% 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.
Quantitative Associate

Quantitative Associate

Duke University

Durham, NC

$125K - $140K/yr

Other

Medical, Dental, Retirement

Re-posted 4 days ago

Duke University rating

6.7

Company rating: 6.7 out of 10

Based on 55 frontline employees who took The Breakroom Quiz

436th of 555 rated colleges and universities

Job description

Be You. Be Bold. Choose Duke.   Be You.
DUMAC is the investment office that manages a multi-billion dollar global portfolio on behalf of Duke University and other pools of capital. Our mission is to provide critical financial support to the university for professorships, student scholarships, and pioneering research. The Data Science & Risk team serves as a central quantitative hub, partnering with all investment groups to drive data-informed decision-making, enhance portfolio construction, and manage risk.
 
DUMAC is seeking a highly motivated and intellectually curious Quantitative Associate/Analyst to join our Data Science & Risk team. This role is designed to provide deep, cross-functional exposure to all aspects of institutional investing. You will work on high-impact projects that span our Public, Private, and Direct investment portfolios, as well as our back-office operations.
This position offers a robust training ground for a career in quantitative finance and asset management, with the potential for long-term advancement within the organization for exceptional performers. You will be a key contributor to the team, bringing fresh perspectives and technical skills to solve complex investment challenges.

 

  Minimum Qualifications Education

Work requires communications and analytical skills generally acquired through completion of a bachelor's degree program. An MBA and CFA are preferred.

  Experience

Work requires experience in research and financial analysis, generally acquired through two years of related experience. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE

    Be Bold. What You'll Do:
  • Analyze and model portfolio exposures, performance, and risk across a diverse range of asset classes.
  • Develop quantitative models to assess investment manager factor exposures and identify drivers of return.
  • Contribute to private asset cash flow forecasting and pacing models to inform portfolio construction and liquidity management.
  • Research, develop, and backtest systematic investment strategies in collaboration with investment teams.
  • Explore and implement AI/ML techniques to enhance investment decision-making and optimize operational workflows.
  • Design, build, and maintain interactive dashboards and visualizations to communicate complex data and insights to stakeholders across the organization.
  • Collaborate with investment professionals and operational teams (Finance, Legal) on a variety of cross-functional projects.
  What We're Looking For
  • Bachelor's or Master's degree in a quantitative field such as Finance, Economics, Statistics, Computer Science, Engineering, or Mathematics.
  • A demonstrated passion for investing and a strong desire to learn about financial markets.
  • Strong proficiency in R or Python for data analysis, modeling, and automation.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical audiences.
  • An independent thinker with a proactive mindset and a high degree of intellectual curiosity.
  • Experience building dashboards and data visualizations using tools like 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 experience in finance, asset management, or a related quantitative field for Quantitative Analyst; 3-5-year relevant work experience for Quantitative Associate.
  • Exposure to machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques.
  • Experience with database querying (e.g., SQL).
    Choose Duke.   Why Join DUMAC?
  • Impact: Play a critical role in supporting the mission of a world-class university.
  • Exposure: Gain unparalleled experience across public and private markets, working directly with seasoned investment professionals.
  • Growth: Join a collaborative, mentorship-driven environment with a clear path for professional development and learning.
  • Culture: Be part of a dynamic, intellectually stimulating team that sits at the intersection of technology and finance.

Anticipated Pay Range: Duke University provides an annual base salary range for this position as USD $125,000.00 to USD $140,000.00. Duke University considers factors such as (but not limited to) scope and responsibilities of the position; candidate's work experience, education/training, and key skills; internal peer equity; as well as market and organizational considerations when extending an offer.


Your total compensation goes beyond the dollars on your paycheck. Duke provides comprehensive and competitive medical and dental care programs, generous retirement benefits, and a wide array of family-friendly and cultural programs to eligible team members. Learn more at: https://hr.duke.edu/benefits/


Equal Opportunity Employer: Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy- related conditions), sexual orientation, or military status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas-an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and reasonable accommodation(s) can be requested with Duke Access and Accommodations Services (email: DAAS@duke.edu; phone: 919-668-1267).

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About Duke University

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Duke is regarded as one of America's leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate, and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Industry

Colleges, universities, and professional schools and hospitals

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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