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Statistical Programmer Jobs in Illinois (NOW HIRING)

International Motors

AI and Data Science Lead

Lisle, IL · On-site

Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and at ...

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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 Jul 2, 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 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.

What is the average salary for a SAS programmer?

The average salary for a SAS programmer typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Skilled programmers with certifications and knowledge of data analysis tools may earn higher salaries, especially in healthcare, pharmaceuticals, or finance sectors.

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 hard is it to get a job at SAS?

Securing a statistical programmer position at SAS typically requires relevant experience with SAS software, programming skills, and a strong understanding of data analysis. Competition can be high, and candidates often need a bachelor's degree in a related field, along with certifications or demonstrated proficiency in statistical programming. Familiarity with industry standards and the ability to work in a team environment also improve chances of employment.

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 in the pharmaceutical and healthcare industries.

Is SAS programming in demand?

SAS programming is in high demand in industries such as pharmaceuticals, healthcare, and finance, where data analysis and regulatory compliance are critical. Skilled SAS programmers with knowledge of data management, statistical analysis, and certifications often find strong job opportunities and competitive salaries.

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 June 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $142,729 per year, or $68.6 per hour.
Lead Data Science Product Mgr

Lead Data Science Product Mgr

Health Care Service Corporation

Chicago, IL

$112K - $202K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 18 days ago

Job description

At HCSC, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers.

Join HCSC and be part of a purpose-driven company that will invest in your professional development.

Job SummaryWe are looking to hire a Lead Data Science Product Manager to join our AI Solutions team at HCSC.
At the largest customer-owned and not-for-profit health insurer and fourth largest health insurer overall in the United States, you will have the opportunity to help drive meaningful business impact using advanced AI technologies", improve our operational and member-facing processes, and affect how healthcare is delivered to our 17 million members.
An ideal candidate is someone who has a demonstrated track record of leading or delivering analytical projects and products with measurable value, can see the big picture and effectively communicate with executives, has an ability to explain complex technical concepts to non-technical audiences, and has a laser-focused customer and user-centric mindset. Day-to-day tasks include engaging senior and executive leadership to understand their most significant business challenges, designing new AI products and solutions to automate or enable better decision making to address these challenges, building long-term product roadmaps, scaling and delivering on those products by working within cross-functional data science, IT, and business teams, and providing overall product leadership for one or more of our machine learning and AI initiatives. Successful candidates will also have indirect leadership over data scientists and engineers assigned to these initiatives.

Required Job Qualifications:
* Bachelor degree and 5 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR Actuarial credential or Master degree and 4 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field OR Ph.D. and 2 years of work experience in a mathematical, statistical, computer science, engineering, physics, economics or related quantitative field OR 8 years of work experience in an advanced mathematical, statistical , engineering, physics or related quantitative field
* Must demonstrate proficiency in at least four of the following six areas: 1) data analysis and relational-style query languages; 2) machine learning and/or statistical modeling; 3) data visualization; 4) a high-level programming language; 6) understanding of healthcare.
* Strong learning and growth mindset
* Customer-focused
* Strong interpersonal, verbal and written communication skills
* A track record of independently delivering or leading the delivery of multiple complex analytics or data science projects
Preferred Job Qualifications:

* Previous product management experience

* Experience with Generative AI and other cutting edge AI technologies (e.g., agentic AI) is strongly preferred.
* Previous experience working with insurance claims systems and/or healthcare experience
* Experience with Iterative / Agile / Scrum development

*Experience successfully implementing at-scale A.I. solutions in cloud environments

Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!

Pay Transparency Statement:

At Health Care Service Corporation, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for employees. Learn more about our benefit offerings by visiting https://careers.hcsc.com/totalrewards.

The compensation offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plansubject to the terms and the conditions of the plan.

HCSC Employment Statement:

We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics.

Base Pay Range$112,200.00 - $202,600.00

Exact compensation may vary based on skills, experience, and location.

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