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Statistical Programmer Jobs in Illinois (NOW HIRING)

Rush University Medical Center

Statistician 1

Chicago, IL · On-site

$32 - $46.44/hr

... performs statistical analyses of critical care and ICU datasets, including CLIF (Common ... programming. Proficiency with Microsoft Office (Word, Excel, Power Point). • Clear and concise ...

Kemper

Data Science Manager

Chicago, IL · Hybrid

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.

Kemper

Data Science Manager

Bloomington, IL · Hybrid

PhD in Mathematics, Statistics, Engineering, or other STEM fields preferred with 4-6 years of experience in insurance industry or related industry in a data science, analytics, or AI environment.

Kemper

Data Scientist

Chicago, IL · On-site +1

Graduate degree inMathematics,Statistics,Engineering, or other STEM field with2-4 yearsofexperience working in a data science/analyticsenvironment. * PhD inMathematics,Statistics,Engineering, or ...

Munich Re

Data Scientist

Bloomington, IL · On-site +1

Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside general programming and SQL knowledge. * Demonstrated experience building and deploying statistical and ...

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All JobsStatistical Programmer JobsStatistical Programmer Jobs in Illinois

Statistical Programmer information

See Illinois salary details

$81.9K

$142.7K

$241.3K

How much do statistical programmer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for statistical programmer in Illinois is $142,729.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,100.00 and $155,000.00 per year, depending on experience, location, and employer.

What is a statistical programmer?

Statistical programmers are professionals who use statistical software and programming languages, such as SAS, R, or Python, to manage, analyze, and report data, often in clinical trials, public health, or research settings. They play a crucial role in transforming raw data into meaningful results by writing code for data cleaning, data manipulation, statistical analysis, and generating reports. Statistical programmers often work closely with statisticians, data managers, and researchers to ensure the accuracy and integrity of data analyses. Their work is essential in industries like pharmaceuticals, healthcare, and academia.

What does a statistical programmer do?

A statistical programmer creates statistical programming deliverables. You ensure excellent programming of analysis-ready data, tables, and figures. You may use Stata for general purpose statistical analysis or SPSS for interactive or batched statistical analysis. Your responsibilities include developing standard operating procedures and complying with guidelines. Other duties include remaining informed on developments in programming standards and meeting all regulatory requirements. You also create PROC statements that call upon named procedures for analysis. You develop programs for dataset integration, prepare resource plans, and assist with quality control of datasets.

What are some common challenges faced by statistical programmers when working on clinical trial data?

Statistical Programmers often encounter challenges such as managing large, complex datasets, ensuring data integrity, and adhering strictly to regulatory standards (like CDISC SDTM and ADaM). They must also collaborate closely with biostatisticians and data managers to accurately translate statistical analysis plans into code. Tight project timelines and shifting priorities can require strong organizational skills and adaptability. Effective communication and attention to detail are essential for navigating these challenges and delivering reliable results.

What are the key skills and qualifications needed to thrive as a statistical programmer, and why are they important?

To thrive as a Statistical Programmer, you need a strong background in statistics, data analysis, and programming—typically with a degree in statistics, mathematics, computer science, or a related field. Expertise in statistical software such as SAS, R, or Python and familiarity with data management systems like CDISC or SQL are often required, along with relevant certifications. Strong problem-solving abilities, attention to detail, and clear communication skills help you interpret data accurately and collaborate effectively with cross-functional teams. These skills ensure the delivery of high-quality, reproducible statistical analyses crucial for informed decision-making in research and industry settings.

What is the difference between Statistical Programmer vs Data Analyst?

AspectStatistical ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Biostatistics, or related field; experience with SAS, R, or PythonBachelor's in Statistics, Data Science, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentPharmaceutical, clinical research, or healthcare industries; focus on programming and data managementVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageCommon in clinical trials, biotech, pharma companiesUsed across multiple sectors like finance, retail, and healthcare

While both roles handle data, Statistical Programmers primarily focus on programming and managing clinical or research data, whereas Data Analysts interpret data to generate insights across various industries. The roles often overlap in skills like statistical software proficiency but differ in their core responsibilities and industry focus.

More about Statistical Programmer jobs

What are the most commonly searched types of Statistical Programmer jobs in Illinois?

The most popular types of Statistical Programmer jobs in Illinois are:

What are popular job titles related to Statistical Programmer jobs in Illinois?

For Statistical Programmer jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Statistical Programmer jobs in Illinois look for?

The top searched job categories for Statistical Programmer jobs in Illinois are:

What cities in Illinois are hiring for Statistical Programmer jobs?

Cities in Illinois with the most Statistical Programmer job openings:

What are popular job titles related to Statistical Programmer jobs in IL?

For Statistical Programmer jobs in IL, the most frequently searched job titles are:

Statistical Programmer jobs near you
Infographic showing various Statistical Programmer job openings in Illinois as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $142,729 per year, or $68.6 per hour.

Statistician 1

Rush University Medical Center

Chicago, IL • On-site

$32 - $46.44/hr

Full-time

Re-posted 25 days ago

Rush University Medical Center rating

8.1

Company rating: 8.1 out of 10

Based on 109 frontline employees who took The Breakroom Quiz

118th of 1,059 rated hospitals

Job description

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Res-Recr - Buell

Work Type: Full Time (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $32.00 - $46.44 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Under the general direction of the Principal Investigator and Supervising Statistician for the Rush Interdisciplinary Consortium for Critical Care Trials and Data Science (RICCC), the Statistician 1 independently performs statistical analyses of critical care and ICU datasets, including CLIF (Common Longitudinal ICU Data Format, www.clif-icu.com), Epic Cosmos data, and multi-center clinical trial data. Develops and implements complex analytical programs to support epidemiological studies of critical illness and clinical trials. Provides quantitative and analytical support to multiple research projects within RICCC. 

Summary:

Under the direction of the Supervising Statistician or Statistician Manager, the Statistician 1 writes and runs computer programs to summarize and perform statistical analyses on data concerning topics in the biomedical sciences, preparing reports to summarize those results. Exemplifies the Rush mission, vision, and values and acts in accordance with Rush policies and procedures.

Required Job Qualifications:

•Master’s degree in Biostatistics, Statistics or closely related field.
•2 years of experience performing statistical analysis of biomedical or related data.
•Knowledge of linear and logistic regression, longitudinal analysis and survival analysis methods.
•Strong analytical skills.
•Proficiency with SAS or R/R-studio programming. Proficiency with Microsoft Office (Word, Excel, Power Point).
•Clear and concise written and verbal communication skills.
•Detail oriented and careful attention to accuracy.

Responsibilities:

•Compute new variables in output for specific requests, displaying stages by showing summaries of all records and by showing all data for one or more participants.
•Develop, write and run complex computer programs in SAS and R to 1) utilize, summarize, and describe datasets, including frequencies, lists, and plots and 2) perform statistical analyses of biomedical data, employing appropriate statistical methods, such as survival analyses, generalized linear modeling, nonparametric methods and graphical methods. Types of data analyzed include categorical, longitudinal, and censored failure-time data. All programs should be organized and modular.
•Perform quality checks for programs that summarize and describe by examining data to identify potential data inconsistencies. Document for review.
•Document programs clearly to facilitate interpretation and general use by other members of the team and by investigators.
•Store all output and programs on servers and file systems accessible to other team members.
•Upon request, working closely with investigators, prepare publication-ready figures.
•Conduct investigations as appropriate to ensure assumptions of statistical models developed for analyses are adequately met. Identify concerns.
•Other duties as assigned.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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