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R Programming Jobs in Chicago, IL (NOW HIRING)

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 ...

R & D Engineer - Automation

Wheeling, IL · On-site

$85K - $110K/yr

R&D Engineer-Automation A family-owned Aerospace company, Dynomax designs, manufactures and develops high-precision machined components, injection molding and tooling, sub-assemblies, automated work ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

R.M. Chin & Associates, Inc. (CHIN) is seeking a dedicated Senior Project Manager/Resident Engineer to lead the delivery of roadway improvement projects and assist in the management of transportation ...

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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 Jul 19, 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, statistical modeling, and research environments in 2026. Many organizations rely on R for data visualization, machine learning, and data science tasks, and it continues to be supported by a large community and extensive packages. Proficiency in R is valuable for data analysts and statisticians working across various industries.

What jobs use R coding?

Jobs that use R coding include data analyst, data scientist, statistician, and research scientist roles. These positions often require skills in statistical analysis, data visualization, and programming, with R being a primary tool for data manipulation and modeling in these fields.

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 high 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 jobs pay $500,000 a year in the US?

In R programming, high-paying roles such as senior data scientists, quantitative analysts, or lead statisticians can reach or exceed $500,000 annually, especially in finance, technology, or consulting firms. These positions typically require advanced skills in data analysis, machine learning, and extensive experience, often supplemented by certifications or advanced degrees. Compensation at this level may include base salary, bonuses, and stock options.

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 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:
Actuarial Manager, Healthcare

Actuarial Manager, Healthcare

Odyssey

Chicago, IL

Other

Re-posted 18 days ago


Job description

About Us:

Headquartered in New York City with offices throughout the U.S. and in Vancouver, Canada, Hudson is a market-leading specialty insurer that offers a wide range of property and casualty insurance products to corporations, professional firms and individuals through retailers, wholesalers and program administrators.

Hudson underwrites specialty primary and excess insurance on an admitted basis through Hudson Insurance Company and on a non-admitted basis through Hudson Specialty Insurance Company and Hudson Excess Insurance Company. Hudson Insurance Company is admitted in all U.S. jurisdictions. Hudson has surplus lines eligibility in all U.S. jurisdictions through Hudson Specialty Insurance Company and Hudson Excess Insurance Company.

Collectively known as Hudson Insurance Group, its companies are rated A+ (Superior) by A.M. Best, Financial Size Category XV. Hudson Insurance Group is the U.S. Insurance Division of Odyssey Group, a leading worldwide underwriter of reinsurance and specialty insurance and wholly owned by Fairfax Financial Holdings Limited.

Position Description: The Actuarial Manager is a key role within Hudson, responsible for leading and executing comprehensive actuarial analyses across healthcare and nonmedical professional liability lines of business, as well as other related commercial P&C coverages. This position requires an experienced actuary who can develop sophisticated pricing models, assess risk and profitability at both portfolio and account levels, and clearly communicate findings and recommendations to senior leadership and nontechnical stakeholders. The ideal candidate combines deep technical expertise, significant experience in medical malpractice/healthcare liability and professional liability, and strong leadership and communication skills. This role will be based in either our New York City or Chicago office.

Skills, Knowledge and Abilities:

  • Conduct detailed actuarial analyses to assess risk, loss cost trends, and profitability across healthcare and nonmedical professional liability and related commercial P&C lines, using advanced statistical methods and mathematical modeling techniques.
  • Develop, enhance, and maintain sophisticated pricing models (including GLMs and similar tools) to support both portfolio and individual/large account and lossrated pricing.
  • Lead the design and implementation of pricing strategies and methodologies across multiline portfolios that balance competitiveness, growth, and profitability.
  • Provide actuarial support and insight on individual and large accounts, including program design, rating structures (including lossrated plans), and deallevel pricing recommendations.
  • Collaborate closely with underwriting, finance, claims, and operations to integrate actuarial insights into strategic decision making, portfolio management, and execution.
  • Prepare and present clear, concise reports, dashboards, and presentations to senior management, effectively translating complex actuarial results and approaches for nonactuarial audiences.
  • Mentor a small team (approximately 1-3) of actuaries and/or analysts, fostering professional development, high performance, and an innovative, analytical culture.
  • Ensure actuarial work adheres to applicable regulatory requirements, internal governance standards, and industry best practices, including rate filings and interactions with Departments of Insurance where applicable.
  • Monitor market and industry trends, competitor behavior, and emerging risks in healthcare, professional liability, and related commercial P&C segments to inform strategic recommendations and product/pricing opportunities.
  • Continuously improve actuarial processes, tools, and methodologies to enhance efficiency, accuracy, and timeliness of analyses and reporting.

Education/Experience:

  • Bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related quantitative field; an advanced degree is a plus.
  • Minimum ACAS designation with at least 7 years of actuarial experience; 10+ years of experience is strongly preferred.
  • Minimum 5 years of experience in medical malpractice/healthcare liability, with additional experience in nonmedical professional liability strongly preferred.
  • Significant individual and large account pricing experience, including complex and lossrated structures, within healthcare and professional liability and other commercial P&C segments.
  • Proven expertise in actuarial modeling, risk assessment, and pricing strategies specific to healthcare, professional liability, and broader commercial P&C lines of business.
  • Experience building and maintaining sophisticated pricing models using GLM or comparable techniques and tools.
  • 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 software, along with solid data management and visualization skills.
  • Superior ability to clearly and effectively communicate actuarial results, assumptions, and approaches to nonactuaries, including underwriters and executive management.
  • Exceptional analytical and problemsolving skills, with strong attention to detail and a high standard of accuracy.
  • Strong organizational and timemanagement skills, with the ability to manage multiple priorities and deadlines in a fastpaced environment.

In New York City, NY the pay range for this role is $150,000 - $190,000. This role may also be eligible to participate in a discretionary annual incentive program. The specific offer will depend on an applicant's skills and other factors. This range is specific to New York City, NY and may not be applicable to other locations.

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