ZipRecruiter

Log In

1

Statistical Programmer Jobs in Chicago, IL (NOW HIRING)

1872 Consulting

Software Engineer

Chicago, IL

Python or R - or other statistical programming experience * Experience with Azure or AWS cloud platforms & services * Work experience in a development capacity within Asset Management, Investment ...

Zoro

Senior Analyst, Marketing Science

Chicago, IL · On-site

$105K - $130K/yr

Expert proficiency in SQL and statistical programming languages (R or Python) for data manipulation, statistical analysis, and model building (e.g., Bayesian methods). Demonstrated proficiency with ...

Transunion

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

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 ...

TransUnion

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

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 ...

TransUnion

Lead Data Scientist

Chicago, IL · On-site

$100K - $160K/yr

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 ...

next page

Showing results 1-20

All JobsStatistical Programmer JobsStatistical Programmer Jobs in Chicago, IL

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.

More about Statistical Programmer jobs
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:
Statistical Programmer jobs near you

Senior AI / ML Engineer

CTC Lateral - Website & LinkedIn

Chicago, IL

$107K - $147K/yr

Other

Posted 16 days ago

Job description

We are seeking a Senior AI / ML Engineer to help define and build how CTC leverages AI across the firm. You will work closely with executive stakeholders to identify where AI creates real leverage for our engineers, quants, and traders, and then build it. The AI landscape is moving fast and the strategy needs to evolve with it - this role carries both the technical and strategic responsibility of figuring out what bets to make and executing on them. This role sits within our Developer Experience organization.

WHAT YOU'LL DO

  • Partner with leadership to shape CTC's AI strategy as the space evolves.

  • Evaluate emerging AI technologies and make informed recommendations on what to adopt, what to watch, and what to skip.

  • Build and ship AI capabilities that drive real adoption across engineering, quant, and trading teams.

  • Work across the firm to understand workflows, identify high-value use cases, and build tools that fit how people actually work.

  • Establish sensible practices for deployment, security, and governance as the function matures.

WHAT WE'RE LOOKING FOR

  • 7+ years of engineering experience with a strong track record of building and shipping developer tools, platforms, or internal tooling that achieved broad adoption.

  • Demonstrated applied experience with LLMs and generative AI; deep curiosity and strong opinions about where this space is heading.

  • Python proficiency required; C++ or low-latency systems experience is a strong plus.

  • Background working in demanding technical environments - proprietary trading, hedge funds, or similar settings where reliability and developer productivity directly impact the business.

  • Good judgment about where AI adds value and where it doesn't, in a space that moves quickly.

  • Comfort with ambiguity and working closely with senior leadership.

  • Strong communication skills across technical and non-technical audiences.

  • Financial sector experience strongly preferred.

  • Advanced degree in Computer Science, Machine Learning, Statistics, Engineering, or related field is a plus.

Apply