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R Programmer Part Time Jobs in Magnolia, NJ (NOW HIRING)

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R Programmer Part Time information

See Magnolia, NJ salary details

$12

$40

$70

How much do r programmer part time jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for r programmer part time in Magnolia, NJ is $40.44, according to ZipRecruiter salary data. Most workers in this role earn between $26.30 and $52.60 per hour, depending on experience, location, and employer.

What types of projects or tasks are typically assigned to part-time R programmers?

Part-time R Programmers often work on a range of data-focused projects, such as cleaning and analyzing datasets, building statistical models, creating data visualizations, and automating data processing tasks. Depending on the organization, you may be tasked with supporting larger analytics teams, developing reports for business stakeholders, or contributing to research studies. The workload usually involves specific assignments or deliverables with clear deadlines, often allowing for flexible working hours. Collaboration commonly takes place through online meetings, code repositories, or project management tools, making strong remote communication skills important for success in the role.

What careers use R programming?

R programming is widely used in data analysis, statistical modeling, and research roles across industries such as healthcare, finance, marketing, and academia. Careers include data analyst, data scientist, biostatistician, and research statistician, often requiring knowledge of data visualization and statistical packages in R.

Are R programmers in demand?

R programmers are in demand in fields such as data analysis, statistics, and research, especially in industries like healthcare, finance, and academia. Skills in data visualization, statistical modeling, and familiarity with tools like RStudio increase employability, with many roles offering part-time opportunities for qualified candidates.

What are the key skills and qualifications needed to thrive in the R programmer part time position, and why are they important?

To thrive as an R Programmer Part Time, you should have strong skills in R programming, data analysis, and statistical modeling, often backed by a degree in statistics, computer science, or a related field. Familiarity with R Studio, version control systems like Git, and, in some roles, exposure to database tools such as SQL are beneficial, with certifications in data analysis or programming providing an added edge. Effective time management, problem-solving abilities, and clear communication are valuable soft skills, enabling efficient remote or project-based work. These skills are crucial as they ensure the part-time R Programmer can deliver accurate, reliable results and collaborate seamlessly within data-driven teams on a flexible schedule.

What is an R programmer part time?

A part-time R Programmer is responsible for writing and optimizing R code for data analysis, statistical modeling, or visualization while working fewer hours than a full-time position. They may assist in tasks such as data cleaning, creating reports, or developing machine learning models. This role is often found in industries like healthcare, finance, and research, where data-driven decision-making is essential. Part-time R programmers typically work on a contract or freelance basis, providing flexibility in work hours.

R Programmer Part Time jobs near you

Quantitative Research Analyst Internship

Stevens Capital Management LP - Full Time and Internships

Radnor, PA • On-site

Full-time, Part-time, Internship

Re-posted 21 days ago

Job description

We're seeking exceptionally motivated students with a strong interest in the financial markets to contribute to our empirical research process. The range of research ideas to investigate is open-ended and will depend on a candidate's background and strengths.
Opportunities, including full-time summer internships and part-time work throughout the school year, are available for qualified students at each of the undergraduate, masters and PhD levels.
Primary Responsibilities
  • Read and analyze academic research or other source material pertaining to anomalies in the global financial markets.
  • Build data sets and conduct statistical analysis on the data.

Requirements
  • Substantial progress toward a degree (graduate level preferred) in a quantitative discipline (e.g. statistics, econometrics, mathematics, engineering, physics or computer science) or finance (with extensive coursework in quantitative disciplines).
  • Programming experience, ideally including R, C++ and/or Python.
  • Experience with regression analysis.
  • Strong interest in learning how to build, organize and analyze large data sets.
  • Strong organizational and communication skills.

Apply