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R Programming Jobs in Chicago, IL (NOW HIRING)

Odyssey

Actuarial Manager, Healthcare

Chicago, IL

R programming experience preferred; ability to work with large, complex datasets and support automation and industrialization of actuarial analyses. * High proficiency with actuarial and statistical ...

Owens Corning

Process Engineer R & D

West Chicago, IL · On-site

$78K - $100K/yr

PURPOSE OF THE JOB The R&D Process Engineer (MPI) is a hands-on technical role responsible for developing, scaling, and industrializing new materials, formulations, and manufacturing processes for ...

Owens Corning

Process Engineer R & D

West Chicago, IL

$78K - $100K/yr

PURPOSE OF THE JOB The R&D Process Engineer (MPI) is a hands-on technical role responsible for developing, scaling, and industrializing new materials, formulations, and manufacturing processes for ...

OdysseyRe

Actuarial Manager, Healthcare

Chicago, IL · On-site

R programming experience preferred; ability to work with large, complex datasets and support automation and industrialization of actuarial analyses. * High proficiency with actuarial and statistical ...

cap

Senior SAS Programmer

Winnetka, IL · Remote

$87K - $111K/yr

Having the experience and expertise to handle complex research or development statistical programming assignments in SAS and/or R with little supervision. * Accepting responsibilities for ...

Owens Corning

Sr Engineer R & D

Summit, IL

$105K - $144K/yr

As a PMA Engineer, you will be responsible for designing, implementing, and optimizing manufacturing process solutions for new or improved PMA formulations, and you will collaborate with our ...

Owens Corning

Sr Engineer R & D

Summit, IL · On-site

$105K - $144K/yr

As a PMA Engineer, you will be responsible for designing, implementing, and optimizing manufacturing process solutions for new or improved PMA formulations, and you will collaborate with our ...

Sterling Engineering Inc.

Quality Engineer

Barrington, IL · On-site

$90K - $110K/yr

Title : Senior Quality Engineer Location : Lake Zurich, IL 60047 Hire Type : Direct Hire Salary ... Utilize statistical tools including correlation, regression, gage R&R, process capability, SPC, and ...

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All JobsR Programming JobsR Programming Jobs in Chicago, IL

R Programming information

See Chicago, IL salary details

$82.4K

$127.7K

$155.6K

How much do r programming jobs pay per year?

As of Jun 23, 2026, the average yearly pay for r programming in Chicago, IL is $127,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $143,700.00 per year, depending on experience, location, and employer.

What is R programming?

R programming is an open-source language and environment primarily used for statistical computing, data analysis, and graphical representation of data. It is widely used by statisticians, data analysts, and researchers for tasks like data manipulation, statistical modeling, and creating visualizations. R has a rich ecosystem of packages and libraries that make it highly flexible for various data science applications. Its ability to handle large datasets and integrate with other programming languages makes it a popular choice in academia and industry. Additionally, R is supported by an active community, which continuously contributes new tools and resources.

Is R still used in 2026?

R programming remains widely used in data analysis, statistics, and research roles in 2026. It is valued for its extensive package ecosystem and capabilities for data visualization and statistical modeling, making it a relevant skill for data scientists and analysts. Proficiency in R continues to be beneficial for jobs requiring data manipulation and analysis.

What jobs can you get with R programming?

R programming skills are valuable for roles such as data analyst, data scientist, statistical programmer, and research analyst. These jobs typically involve data analysis, statistical modeling, and visualization, often requiring knowledge of data manipulation packages like dplyr and ggplot2, and sometimes familiarity with machine learning tools.

What types of projects do R Programming professionals typically work on within a team environment?

R Programming professionals often collaborate on projects involving data analysis, statistical modeling, and visualization. They usually work closely with data scientists, analysts, and subject matter experts to clean datasets, build predictive models, and generate insightful reports. The role requires effective communication to translate technical findings into actionable recommendations for non-technical stakeholders. Additionally, R programmers may participate in code reviews, contribute to package development, and help automate data pipelines, fostering a collaborative and learning-oriented work environment.

Is R programming in demand?

R programming is in demand in data analysis, statistics, and data science roles, especially in industries like healthcare, finance, and research. Professionals skilled in R, along with data visualization and statistical modeling, are sought after as organizations increasingly rely on data-driven decision making.

What is the difference between R Programming vs Data Analyst?

AspectR ProgrammingData Analyst
Required skillsStatistical analysis, coding in R, data visualizationData manipulation, reporting, basic statistical skills
Work environmentData science teams, research labs, analytics departmentsBusiness, finance, marketing, healthcare sectors
Tools usedR, RStudio, packages like ggplot2, dplyrExcel, SQL, Tableau, R (sometimes)

R Programming is a specialized skill focusing on statistical computing and data visualization, often used by data scientists and statisticians. Data Analysts utilize a broader set of tools and skills to interpret data for business insights. While R Programming is essential for advanced analysis, Data Analysts often combine R with other tools to deliver reports and dashboards.

What are the key skills and qualifications needed to thrive as an R Programmer, and why are they important?

To thrive as an R Programmer, you need strong proficiency in R programming, data analysis, and statistical modeling, often supported by a background in statistics, mathematics, or computer science. Familiarity with tools such as RStudio, version control systems like Git, and relevant packages (e.g., dplyr, ggplot2) is highly valued, along with certifications in data science or analytics. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating data insights into actionable solutions. These skills ensure accurate data analysis, efficient workflow, and clear communication of results to technical and non-technical stakeholders.

What jobs pay $10,000 a month without a degree?

In R programming, high-paying freelance or consulting roles such as data analyst, data scientist, or statistical consultant can earn $10,000 or more per month, especially with strong skills in data analysis, statistical modeling, and programming. These positions often require a solid portfolio, experience, and proficiency with tools like R, but may not require a formal degree if demonstrated expertise is established.
What are the most commonly searched types of R Programming jobs in Chicago, IL? The most popular types of R Programming jobs in Chicago, IL are:
R Programming jobs near you
Business Systems Administration Internship

Business Systems Administration Internship

Argonne National Laboratory

Lemont, IL • On-site

$18.08 - $39.17/hr

Full-time

Posted 8 days ago

Job description

Focus of the Business Systems Administration internship is to develop skills and apply knowledge to advance system maintenance and implementation initiatives in the Financial Management and Procurement Services (FMPS) division. Business Systems Administration internship will analyze business processes, identify inefficiencies, assess information requirements, and create powerful business solutions using technology.

  • Learn and practice skills in supporting a financial management and procurement services team with improvements in service quality to achieve best-in-class standards.
  • Use various software solutions to aggregate and analyze data to aid the organization in better decision-making to achieve optimized operations.
  • Use accounting, finance, supply chain, and statistics education to collect, analyze, model, and interpret data.
  • Deliver effective communication with division staff and leadership.
  • Learn from experience staff on data mining from ERP/business systems such as Workday.
  • Work within a team that fosters transparency and collaboration.

Education and Experience Requirements

  • Must be a U.S. citizen.
  • Must be currently enrolled full-time at an accredited institution and have completed at least one semester of schooling by the start of the program.
  • Must be 18 years or older at the time the appointment begins.
  • If accepting an offer, must pass a screening drug test.
  • Majors: Management Information Systems, Finance, Mathematics, Statistics, Industrial Engineering, Business Analytics.
  • Departments: Business Systems and Transformation, Financial Management, and Budget.
  • Completed at least two years of undergraduate academics in business logistics analytics, computer science, industrial engineering, mathematics, statistics or similar program and maintain a cumulative GPA of 3.0 on 4.0 scale.
  • A desire to participate in a dynamic work environment with competing deadlines.
  • Ability to be a highly motivated and self-starting and seeking a future career in a business profession.
  • Desire to learn about modernizing business disciplines of accounting, business administration, economics, finance, etc. through integration with data analysis, Artificial Intelligence, Machine Learning, and Data Visualization.
  • Ability to negotiate between large scale project goals and individual work assignments
  • Ability to assist in difficult situations and keep composure and confidence.
  • Experience with Microsoft Office Products (Word, Outlook, Excel) required,
  • Knowledge of and experience with Power BI, Tableau, "R" programming preferred
  • Great aptitude for math and processing logic.
  • Excellent written and oral communication skills.

Job Family

Undergraduate Student Employment

Job Profile

Professional Career Internship - Sophomore

Worker Type

Employee

Time Type

Full time

Scheduled Weekly Hours

40

Pay Rate Type

HourlyThe expected hiring range for this position is $18.08 - $39.17.

Please note that the pay range information is a general guideline only. The pay offered to a selected candidate will be determined based on factors such as, but not limited to, the scope and responsibilities of the position, the qualifications of the selected candidate, business considerations, internal equity, and external market pay for comparable jobs. Additionally, comprehensive benefits are part of the total rewards package.

Click here to view Argonne employee benefits!

EEO Information

As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.

All Argonne offers for appointments in the student employment category are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.

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