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Statistical Programmer Jobs in Chicago, IL (NOW HIRING)

Quality Engineer

Barrington, IL · On-site

$90K - $110K/yr

Title : Senior Quality Engineer Location : Lake Zurich, IL 60047 Hire Type : Direct Hire Salary ... Apply statistical methods to collect, analyze, interpret, and summarize production data to improve ...

We have a wealth of data and industry experience within our large group of highly-trained analysts, statisticians, engineers, and economists. We also have a modern computing environment based on best ...

Bachelor's degree in Supply Chain, Business, Statistics, Engineering, or a related field. * Experience: 3+ years in forecasting or demand planning within a manufacturing environment. * Strong ...

Bachelor's degree in Supply Chain, Business, Statistics, Engineering, or a related field. * Experience: 3+ years in forecasting or demand planning within a manufacturing environment. * Strong ...

Demand Planning Analyst

Batavia, IL · On-site

$85K - $100K/yr

Bachelor's degree in Supply Chain, Business, Statistics, Engineering, or a related field. * Experience: 3+ years in forecasting or demand planning within a manufacturing environment. * Strong ...

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

Experience working with other groups involved in clinical research, such as Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and ...

Director, Biostatistics

Chicago, IL · On-site

$190K - $260K/yr

Experience working with other groups involved in clinical research, such as Statistical Programmers, Clinical Operations, Data Managers, etc. * Thorough understanding of statistical principles and ...

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Statistical Programmer information

See Chicago, IL salary details

$87.1K

$151.9K

$256.7K

How much do statistical programmer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for statistical programmer in Chicago, IL is $151,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,900.00 and $165,000.00 per year, depending on experience, location, and employer.

What are statistical programmers?

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.

Are SAS Programmers in demand?

SAS Programmers are in demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory reporting are critical. Skills in SAS, along with knowledge of data management and statistical analysis, increase employability, especially for roles requiring compliance with industry standards. The demand for SAS programmers remains steady due to ongoing needs for data-driven decision-making and regulatory submissions.

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.

How much does a statistical programmer earn?

The average salary for a statistical programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in SAS, R, or Python may earn higher compensation, often exceeding $120,000 per year.

What is SAS developer salary?

The salary for a SAS developer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled SAS programmers with certifications and knowledge of data management tools often earn higher salaries, especially in pharmaceutical, healthcare, and finance sectors.

What does a statistical programmer do?

A statistical programmer develops and maintains code to analyze clinical trial data, often using programming languages like SAS, R, or Python. They prepare datasets, generate reports, and ensure data accuracy for regulatory submissions, working closely with statisticians and data managers in a regulated environment.

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.

What are the most commonly searched types of Statistical Programmer jobs in Chicago, IL? The most popular types of Statistical Programmer jobs in Chicago, IL are:
What are popular job titles related to Statistical Programmer jobs in Chicago, IL? For Statistical Programmer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Statistical Programmer jobs in Chicago, IL look for? The top searched job categories for Statistical Programmer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Statistical Programmer jobs? Cities near Chicago, IL with the most Statistical Programmer job openings:
Quality Engineer

Quality Engineer

Sterling Engineering Inc.

Barrington, IL • On-site

$90K - $110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Title: Senior Quality Engineer
Location: Lake Zurich, IL 60047
Hire Type: Direct Hire
Salary: $90k-110k/yr.
Benefits: Medical, Dental, Vision, 401(k) with Match, Life Insurance, Tuition Reimbursement, PTO, Paid Holidays

This role is for a Senior Quality Engineer who will serve as a key resource for quality requirements, processes, investigations, and continuous improvement initiatives within a fast-paced manufacturing environment. The position supports multiple industries including aerospace, automotive, medical, energy, robotics, and industrial machinery.

Job Duties:
  • Lead key continuous improvement quality projects.
  • Apply statistical methods to collect, analyze, interpret, and summarize production data to improve efficiency.
  • Work directly with internal and external customers to resolve quality questions, concerns, complaints, and rejects.
  • Collaborate with cross-functional departments to address quality issues and drive corrective actions through implementation and verification.
  • Support the inspection department with internal investigations and material disposition.
  • Conduct internal audits, customer audits, supplier audits, and customer visits as required.
  • Utilize statistical tools including correlation, regression, gage R&R, process capability, SPC, and analysis of variance to improve manufacturing capability.
  • Facilitate structured problem-solving methods such as fishbone diagrams and 5-Why analysis.
  • Manage multiple quality improvement projects in a fast-paced manufacturing environment.
Qualifications:
  • Bachelor’s degree in Mechanical Engineering, Industrial Engineering, or related field.
  • 5–8+ years of experience in a manufacturing quality environment.
  • Experience working with quality standards such as IATF 16949, ISO 13485, and AS9100.
  • Experience with APQP, PPAP, FMEA, Control Plans, and QMS processes.
  • Strong background in corrective actions, root cause analysis, and structured problem-solving tools.
  • Proficiency using statistical analysis tools to evaluate and improve manufacturing processes.
  • Experience conducting internal QMS audits.
  • Automotive, aerospace, or medical manufacturing experience preferred.
  • Strong communication skills with the ability to work effectively with internal teams and external customers.
Qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information.