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R Shiny Developer Part Time Jobs (NOW HIRING)

The Pennsylvania State University

$15.75 - $21/hr

... hiring part-time positions to assist faculty with research. Responsibilities include data ... Additional tasks involve writing project metadata, developing R code and R Shiny applications, and ...

G. R. Freeman

HVAC Office Assistant

Evansville, IN · On-site

$10 - $15/hr

G. R. Freeman Heating & Air Conditioning Inc. is currently seeking a meticulous individual to fill ... This part-time position offers a competitive compensation of $10-$15 per hour . This role calls for ...

New York University

Researcher (Part-time)

New York, NY · On-site

$26.37/hr

Description Part time Research Scholar Biomedical Engineering New York University Faculty in the ... Have demonstrated writing and programming skills in MATLAB, Python, or R. * Have training in ...

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How much do r shiny developer part time jobs pay per hour?

As of May 30, 2026, the average hourly pay for r shiny developer part time 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 are the key skills and qualifications needed to thrive as a R Shiny Developer Part Time, and why are they important?

To thrive as a R Shiny Developer Part Time, you need strong programming skills in R, experience with Shiny app development, and a background in statistics or data analysis. Familiarity with tools like RStudio, version control systems (e.g., Git), and deployment platforms such as shinyapps.io or Docker is often required. Excellent problem-solving abilities, communication skills, and the capacity to work independently are crucial soft skills in this role. These competencies ensure efficient delivery of interactive data applications that meet user needs and organizational goals, even on a part-time schedule.

How does a part-time R Shiny Developer typically collaborate with data scientists and project managers on ongoing projects?

As a part-time R Shiny Developer, you will frequently work alongside data scientists to translate their analytical models and datasets into interactive web applications. You'll also coordinate with project managers to align on timelines, deliverables, and feature priorities. Effective communication is key, as you may attend virtual meetings, provide status updates, and review user requirements to ensure the Shiny app meets business needs. Remote collaboration tools like Git, Slack, or Jira are commonly used to facilitate teamwork and track progress.

What are R Shiny Developers?

R Shiny Developers are professionals who specialize in building interactive web applications using the Shiny package in R. They combine statistical analysis, data visualization, and web development skills to create dashboards and tools that allow users to interact with data in real time. Part-time R Shiny Developers typically work on specific projects or tasks, providing flexibility for organizations that need expertise without hiring a full-time employee. Their responsibilities often include designing user interfaces, writing server logic, and integrating data sources.

What is the difference between R Shiny Developer Part Time vs Data Analyst Part Time?

AspectR Shiny Developer Part TimeData Analyst Part Time
Required SkillsProficiency in R, Shiny framework, data visualizationData analysis, SQL, Excel, basic R or Python
Work EnvironmentProject-based, remote or on-site, tech-focusedBusiness or research settings, remote or on-site
Industry UsageTech, healthcare, finance, researchFinance, marketing, healthcare, consulting

While both roles involve data handling, R Shiny Developers focus on building interactive web applications using R, requiring coding and app development skills. Data Analysts interpret data and generate reports, often using SQL and Excel. The R Shiny Developer Part Time role emphasizes software development, whereas the Data Analyst Part Time role centers on data interpretation and reporting.

More about R Shiny Developer Part Time jobs
What cities are hiring for R Shiny Developer Part Time jobs? Cities with the most R Shiny Developer Part Time job openings:
What are the most commonly searched types of R Shiny Developer jobs? The most popular types of R Shiny Developer jobs are:
What states have the most R Shiny Developer Part Time jobs? States with the most job openings for R Shiny Developer Part Time jobs include:
What job categories do people searching R Shiny Developer Part Time jobs look for? The top searched job categories for R Shiny Developer Part Time jobs are:
R Shiny Developer Part Time jobs near you
Infographic showing various R Shiny Developer Part Time job openings in the United States as of May 2026, with employment types broken down into 100% Part Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

Stuckeman Center for Design Computing Part-time Support

Penn State University

University Park, PA • On-site

Part-time

Posted 20 days ago

Penn State University rating

8.0

Company rating: 8.0 out of 10

Based on 98 frontline employees who took The Breakroom Quiz

146th of 529 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
The Stuckeman Center for Design Computing at the University Park campus in Pennsylvania is hiring part-time positions to assist faculty with research. Responsibilities include data collection and evaluation, project management, and GIS data processing using QGIS and R. Additional tasks involve writing project metadata, developing R code and R Shiny applications, and conducting statistical analyses on biodiversity, shape grammars, and design computation.
Applications will be received on an ongoing basis and reviewed as the need arises. Applications must be submitted electronically.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
The Pennsylvania State University is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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