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R Shiny Developer Part Time Jobs (NOW HIRING)

Baylor College of Medicine

Intern/Aide - Part-time

Houston, TX · On-site

$14.25 - $19/hr

The intern will implement the algorithms in Python/R and fit them on the datasets in the cluster ... Strong skills in computer science and programming (algorithm implementation, data structure, and ...

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 ...

Booz Allen Hamilton, Inc.

DevOps Engineer

Mclean, VA · On-site +1

$77K - $176K/yr

Share DevOps Engineer The Opportunity: Are you looking for an opportunity to leverage your DevOps ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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R Shiny Developer Part Time information

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

As of Sep 10, 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 is an R Shiny developer?

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 are the key skills and qualifications needed to thrive as an R Shiny developer part time?

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 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.

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R Shiny Developer Part Time jobs near you
Infographic showing various R Shiny Developer Part Time job openings in the United States as of September 2026, with employment types broken down into 85% Full Time, 3% Part Time, and 12% Contract. Highlights an 79% Physical, 4% Hybrid, and 17% Remote job distribution, with an average salary of $102,607 per year, or $49.3 per hour.

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

San Diego, CA

University of San Diego
Colleges, Universities, and Professional Schools • 501 - 1,000 employees
Learn more about University of San Diegoexternal

$40 - $44/hr

Full-time, Part-time

Re-posted 16 days ago

Key responsibilities

  • Deliver course content, assess student progress, hold office hours, and meet deadlines for grading and attendance.

  • Collaborate with the Learning Design Team to create and develop online courses in the learning management system.

  • Teach and develop online courses as part of the Artificial Intelligence for Business Solutions program.

University Of San Diego rating

6.9

Company rating: 6.9 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming

Apply now Posting #: 5233
Position Status: Faculty, Part-time temporary
Location: San Diego
Position Type: Faculty, Continuing Education

Position Title & Department:

Part-time Adjunct Faculty/Developer for Artificial Intelligence Coding and Programming Posting #

5233

University Description:

The University of San Diego, an engaged and contemporary Catholic institution, was founded by the Diocese of San Diego and the Society of the Sacred Heart in 1949. Governed by an independent board of trustees since 1972, USD remains committed to a liberal arts education grounded in the Catholic intellectual tradition and the pursuit of truth, goodness and beauty. Inspired by this centuries old tradition of Catholic higher education, the University welcomes people of all faith traditions and any, or no, religious background. The future success of USD relies on the contributions of those who seek to foster the development of engaged global citizens and an earnest confrontation of humanity's urgent challenges.

Detailed Description:

The University of San Diego's Professional and Continuing Education department is seeking an adjunct faculty member with mastery in the application of artificial intelligence for coding and programming for business solutions. This role involves teaching and developing online courses as part of our Artificial Intelligence for Business Solutions program. The program includes twelve courses, each worth 1 unit. Courses are delivered in an online, self-paced format, with students having six months to complete each four-week course.

Job Duties and Responsibilities:

  • Teaching: Delivering course content, assessing student progress through formal and informal assessments, holding office hours, meeting deadlines for submitting grades and attendance, and adhering to safety procedures and departmental standards.
  • Development: Collaborating with the Learning Design Team to create and develop courses in our learning management system, ensuring timely delivery of course materials.

Work Mode: Entirely remote

Work Schedule: Online as needed

Background check:  Successful completion of a pre-employment background check.

Degree Verification Requirement: Persons offered employment in this position will be required to provide official education transcripts for degree verification purposes. 

Job Requirements:

Specific Required Skills:

  • Proficiency in programming languages such as Python, Java, and R.
  • Expertise in machine learning algorithms and data structures.
  • Experience with AI frameworks and libraries (e.g., TensorFlow, PyTorch).
  • Ability to develop and implement AI models for business applications.
  • Knowledge of cloud computing platforms (e.g., AWS, Azure) for deploying AI solutions.
  • Strong analytical and problem-solving skills.
  • Familiarity with data preprocessing and visualization techniques.
  • Understanding of ethical considerations in AI and data privacy.

Required Qualifications:

  • Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (e.g., Mathematics with a focus on algorithms, data structures, and programming languages such as Python, Java, and R).
  • Working knowledge of generative AI techniques.
  • Minimum of two years of full-time professional experience in AI, coding, and programming.

Preferred Qualifications:

  • Experience in Machine Learning, Deep Learning, Data Science, Business Intelligence, Research Science, Big Data, Software Engineering, Data Management, and Analysis.
  • Cloud computing experience.
  • Familiarity with the Canvas learning management system.

Eligibility:

  • Applicants must be currently authorized to work in the U.S. on a full-time basis. Employment-based visa sponsorship (including H-1B sponsorship) is not available for this position.
Posting Salary:

$40-44/hour

The salary range provided in this posting reflects what we reasonably expect to pay for this position.  Actual compensation offered or earned is dependent on experience, education and other factors including departmental budget.

Special Application Instructions:

Click the 'Apply Now' button to complete our online application. In addition, please upload a cover letter and resume to your application profile for the hiring managers' review. 

Contact: Andrew Drotos, adrotos@SanDiego.edu

If you have any technical questions or difficulties please contact the Employment Services Team at jobs@sandiego.edu.

Additional Details:

Note: External job postings will be up for at least three days. After that time, applications will be reviewed by the hiring manager/committee throughout the posting period. A candidate may be selected at any time which could then close this posting on a date earlier than listed.
The University of San Diego is a smoking and tobacco-free campus. For more information, visit www.sandiego.edu/smokefree.

Advertised: May 02, 2025 Pacific Daylight Time
Applications close:

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