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R Programming Jobs in Chicago, IL (NOW HIRING)

Varsity Tutors

Data Science Tutor

Schaumburg, IL · Remote

$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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Data Science Tutor

Wheaton, IL · Remote

$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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Data Science Tutor

Lake Forest, IL · Remote

$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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Data Science Tutor

Oak Lawn, IL · Remote

$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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Data Science Tutor

Skokie, IL · Remote

$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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Data Science Tutor

Buffalo Grove, IL · Remote

$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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Data Science Tutor

Des Plaines, IL · Remote

$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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Data Science Tutor

Naperville, IL · Remote

$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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Data Science Tutor

Chicago, IL · Remote

$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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Data Science Tutor

Highland Park, IL · Remote

$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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Data Science Tutor

Evanston, IL · Remote

$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 ...

Vets2PM

Customer Service Engineer (R-26395)

Chicago, IL · On-site

$64K - $88K/yr

Customer Service Engineer (R-26395) Location: Chicago, Illinois Company: Siemens Healthineers Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring ...

Vets2PM

Customer Service Engineer (R-26395)

Chicago, IL

$64K - $88K/yr

Customer Service Engineer (R-26395) Location: Chicago, Illinois Company: Siemens Healthineers Join us in pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Our inspiring ...

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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
Senior Biostatistician

Senior Biostatistician

Loyola University Chicago

Chicago, IL • On-site

Full-time

Posted 13 days ago

Job description

Position Details
Position Details
Job Title
Sr. Biostatistician
Position Number
8151034
Work Modality
Fully Remote Work
Is this request for the creation of a new Position (or the modification of an existing Position) to temporarily support the WorkDay ERP?
No
Job Category
University Staff
Job Type
Full-Time
FLSA Status
Exempt
Campus
Maywood-Health Sciences Campus
Department Name
PUBLIC HEALTH SCIENCES
Location Code
PUBLIC HEALTH SCIENCES (06250A)
Is this split and/or fully grant funded?
Yes
Duties and Responsibilities
We have an immediate opening for a Senior Biostatistician position in Dr. Qeadan's research team in the Public Health Sciences Department within the Parkinson School of Health Sciences and Public Health. 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 health research projects. This role involves providing statistical leadership in study design, EHR data management and analysis, manuscript preparation, grant development, and collaborative research initiatives.
Training and Experience:
  • Demonstrated experience serving as the lead biostatistician on research studies and multidisciplinary projects.
  • Required experience working directly with electronic health record (EHR) data, including extraction, transformation, cleaning, validation, and creation of research-ready analytic datasets.
  • Experience developing patient cohorts, derived variables, and computable phenotypes using diagnosis, procedure, laboratory, medication, and encounter data.
  • Experience supporting observational research using EHR-derived real-world data (RWD), clinical data warehouses, or healthcare data repositories.
  • Experience mentoring and providing methodological guidance to biostatisticians, analysts, researchers, and trainees.

Statistical Expertise
Formal training in probability theory, mathematical statistics, linear models, and categorical data analysis. Expertise in multiple advanced statistical methodologies, including several of the following:
  • Survival analysis
  • Hierarchical and mixed-effects models
  • Clinical trial design and analysis
  • Structural equation modeling
  • Bayesian data analysis
  • Multivariate statistical methods
  • Longitudinal data analysis
  • Causal inference methods
  • Demonstrated ability to select and apply appropriate statistical methodologies to complex clinical, public health, and observational research questions.

Technical Skills
  • Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
  • Demonstrated ability to develop well-documented, reproducible, and quality-controlled statistical code.
  • Experience implementing reproducible research practices and statistical programming standards.
  • Knowledge of healthcare coding systems and terminologies, including ICD-9/ICD-10, CPT/HCPCS, LOINC, RxNorm, and/or SNOMED CT.
  • Familiarity with clinical data warehouse environments and common healthcare data models.

Communication and Leadership Skills
  • Exceptional written and verbal communication skills, including the ability to communicate complex statistical concepts and findings to technical and non-technical audiences.
  • Demonstrated ability to prepare statistical reports, technical summaries, and presentations for investigators, stakeholders, sponsors, and funding agencies.
  • Strong scientific writing skills with a track record of contributing to peer-reviewed publications, grant applications, and research reports.
  • Ability to independently manage multiple projects, prioritize competing deadlines, and provide strategic statistical leadership.
  • Proven ability to work collaboratively in multidisciplinary research environments while maintaining professionalism, confidentiality, and scientific rigor.

Responsibilities
  • Serve as the lead biostatistician on assigned projects and provide statistical leadership throughout the research lifecycle.
  • Provide subject matter expertise and methodological consultation to other biostatisticians, analysts, investigators, and research staff.
  • Lead statistical and methodological design considerations for grant applications.
  • Prepare statistical reports, analytic summaries, and research deliverables for investigators, sponsors, and stakeholders.
  • Collaborate on the writing, reviewing, and editing of manuscripts for publication in peer-reviewed journals, as well as the preparation of grants.
  • Develop advanced statistical programming solutions, including SAS macros, R functions, and reproducible analytic workflows.

Minimum Education and/or Work Experience
Required Education: Master's degree and a minimum of 15 years of experience.
  • Preferred Education: PhD and a minimum of 5 years of experience.
  • Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.

Required Experience:
• 3-5 years of experience as a collaborating statistician
Preferred:
• 6-10 years of experience as a collaborating statistician
• Past experience obtaining external funding as Co-I or study biostatistician
Qualifications
  • Master's degree in Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field required; Ph.D. preferred. Candidates with a Master's degree should have a minimum of 15 years of clinical or health-related research experience. Candidates with a Ph.D. should have a minimum of 5 years of clinical or health-related research experience.
  • The ideal candidate will possess exceptional analytical, leadership, and communication skills, with demonstrated expertise in biostatistical methods, clinical and public health research, and electronic health record (EHR)-based research. The successful candidate will have experience leading statistical aspects of research projects, collaborating with multidisciplinary teams, and contributing to externally funded research initiatives.

Certificates/Credentials/Licenses
Master's degree and a minimum of 15 years of experience. PhD (preferred) and a minimum of 5 years of experience. Field of study: Biostatistics, Statistics, Epidemiology, Data Science, Public Health, Health Informatics, or a related quantitative field.
Computer Skills
Advanced proficiency in SAS and R, including development of custom SAS macros, R functions, and automated analytical workflows.
Proficiency with Microsoft Office Suite, including Word, Excel, PowerPoint, and Outlook.
Supervisory Responsibilities
No
Required operation of university owned vehicles
No
Does this position require direct animal or patient contact?
No
Physical Demands
None
Working Conditions
None
Open Date
06/10/2026
Close Date
Position Maximum Salary or Hourly Rate
$100,000/ann
Position Minimum Salary or Hourly Rate
$90,000/ann
Special Instructions to Applicants
As a Jesuit, Catholic institution of higher education, we seek candidates who will contribute to our strategic plan to deliver a Transformative Education in the Jesuit tradition. To learn more about Loyola University Chicago's mission, candidates should consult our website at www.luc.edu/mission/. For information about the university's focus on transformative education, they should consult our website at www.luc.edu/transformativeed.
About Loyola University Chicago
Founded in 1870, Loyola University Chicago is one of the nation's largest Jesuit, Catholic universities, recognized for its academic excellence, commitment to community engagement, and leadership in sustainability. A Carnegie R1 research institution, Loyola leverages its status as one of an elite group of universities with the highest level of research activity to advance knowledge that serves communities and creates global impact. With 15 schools, colleges, and institutes-including Business, Law, Medicine, Nursing, and Health Sciences-Loyola operates three primary campuses in the greater Chicago area and one in Rome, Italy, that provide students a transformative, globally connected learning experience. Consistently ranked among the nation's top universities by U.S. News & World Report, Loyola is a STARS Gold-rated institution that is ranked as one of the country's most sustainable campuses by The Princeton Review and has earned distinctions from AmeriCorps and the Carnegie Foundation for its longstanding record of service and community engagement. Guided by its Jesuit mission and commitment to caring for the whole person, Loyola educates ethical leaders who think critically, act with purpose, and strive to create a more just and sustainable world.
Loyola University Chicago strives to be an employer of choice by offering its staff and faculty a wide array of affordable, comprehensive, and competitive benefits. To view our benefits in detail, click here.
Loyola adheres to all applicable federal, state, and/or local civil rights laws and regulations prohibiting discrimination in private institutions of higher education. Please see the University's Nondiscrimination Policy.
Quick Link for Posting
https://www.careers.luc.edu/postings/35277

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