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R Programming Jobs in Chicago, IL (NOW HIRING)

Senior Biostatistician

Chicago, IL · On-site

$90 - $100/hr

We are seeking an experienced biostatistician with expertise in electronic health record ( EHR ) data, advanced statistical methods, and SAS and R programming to lead and support clinical and public ...

Python or R programming experience * Be eligible to start a full-time role within the January 2027 - August 2027 timeframe. * Must have valid, ongoing, unrestricted authorization to work in the ...

Python or R programming experience * Be eligible to start a full-time role within the January 2027 - August 2027 timeframe. * Must have valid, ongoing, unrestricted authorization to work in the ...

Macro News Analyst

Chicago, IL · On-site

$188 - $254/hr

Experience with programming in MATLAB, Python, R Programming, Excel VBA, and Bloomberg. #LI-DNI The Base Salary range for the role is included below. Base salary is only one component of total ...

New

Macro News Analyst

Chicago, IL · On-site

$188K - $254K/yr

Experience with programming in MATLAB, Python, R Programming, Excel VBA, and Bloomberg. #LI-DNI The Base Salary range for the role is included below. Base salary is only one component of total ...

Data Science Tutor

Oak Lawn, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Skokie, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Lake Forest, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Des Plaines, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Wheaton, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Schaumburg, IL · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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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 Aug 26, 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.

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.

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 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.

Are R programming in demand?

R programming is in high demand in data analysis, statistics, and data science roles across various industries. Professionals skilled in R, along with knowledge of data visualization and statistical modeling, are sought after for tasks involving data-driven decision making and research. The demand is expected to grow as organizations increasingly rely on data analysis tools.

What careers use R programming?

R programming is widely used in data analysis, statistics, and data science roles such as data analyst, data scientist, and biostatistician. Professionals in finance, healthcare, research, and academia also use R for data visualization, modeling, and reporting tasks, often requiring knowledge of statistical concepts and data manipulation tools.

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:

What are popular job titles related to R Programming jobs in Chicago, IL?

For R Programming jobs in Chicago, IL, the most frequently searched job titles are:

Infographic showing various R Programming job openings in Chicago, IL as of August 2026, with employment types broken down into 56% Full Time, and 44% Contract. Highlights an 100% In-person job distribution, with an average salary of $127,738 per year, or $61.4 per hour.

Lead Statistical Analyst

Tata Consultancy Service Limited

Chicago Ridge, IL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Required Skillsets:
• Experience in leading a team of statistical programmers for a compound/indication or therapeutic area
• Proficiency in SAS / R programming languages to Program and validate ADaM , TFL and statistical analyses
• In-depth understanding of SAS programming concepts and techniques in drug development process and clinical study life cycle
• Good to have experience in other statistical programming languages (R).
• In-depth understanding of CDISC standards and therapeutic area (Oncology, Immunology , Neuroscience Etc.)
• Experience with regulatory filings.
• Effective communication skills (both written and verbal)
• Ability to effectively represent the Statistical Programming Organization in cross functional teams (Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing and Clinical Operations).
• Ability to accurately estimate effort required for project related programming activities.
• Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines
Key Responsibilities:
1. Leads the statistical programming activities for a compound/inidication.
2. Leads a team of statistical programmers and manages the resource planning for assigned staff.
3. Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
4. Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
5. Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
6. Ensures consistency of ADaM data sets for individual studies and integrated data.
7. Creates documentation for regulatory filings including reviewers guides and data definition documents.
8. Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
9. Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.
Salary Range: $130,000- 150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal As sistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
#LI-SP1