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Statistical Programmer Jobs in Chicago, IL (NOW HIRING)

Senior SAS Programmer

Winnetka, IL · Remote

$87K - $111K/yr

Having the experience and expertise to handle complex research or development statistical programming assignments in SAS and/or R with little supervision. * Accepting responsibilities for ...

Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Identify and anticipate issues arising in the study design, conduct and ...

Collaborate with Statistical Programming to ensure the delivery of high-quality outputs according to agreed-upon timelines. Identify and anticipate issues arising in the study design, conduct and ...

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Minimum 6 Years SAS Programming Experience supporting Phase 1-3 clinical trials in CRO or ... Education - BS in Statistics, Computer Science or a related field with 6+ years of relevant ...

Minimum 6 Years SAS Programming Experience supporting Phase 1-3 clinical trials in CRO or ... Education - BS in Statistics, Computer Science or a related field with 6+ years of relevant ...

Provide statistical consultancy support to sponsors across the full span of clinical development, including oversight of third-party statistical and programming deliverables. * Maintain current ...

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 ...

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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:
Sr. Statistical Programmer

Sr. Statistical Programmer

Redbock - an NES Fircroft company

Mundelein, IL • On-site

Other

Posted 19 days ago


Job description

SUMMARY:

A biopharmaceutical company in the Bay area needs a very strong Senior Statistical Programmer to support their team. This programmer will need to be a strong, senior-level programmer who can work well both independently and part of a team. They must be proficient in their CDISC expertise and be able to program specifications from scratch (both SDTM and ADaM programming).


DUTIES & RESPONSIBILITIES:

  • Perform data manipulation, analysis and reporting of clinical trial data
  • Program and generate tables, listings, and graphs (TLGs)
  • Participate in the review of statistical analysis plans, table specification, develop specification for SDTM and ADaM data sets.
  • Review, and comment on CRFs, annotated CRFs, and edit checks and related documents.
  • Participate in study team meetings and address issues that may affect statistical programming.
  • Validate and document SAS programs and output
  • Create SDTM and ADaM Datasets and related documentation
  • Fulfill ad-hoc programming requests
  • Other duties as needed


QUALIFICATIONS & REQUIREMENTS:

  • 15+ years of statistical programming experience in the pharmaceutical/biotech industries, good tenure with Sponsor companies
  • Strong submissions experience (BLA, NDA/sNDA and EMA), understanding submission requirements, and end to end programming experience
  • Strong experience with CDISC implementation – SDTM/ADAM, must be able to develop specifications from scratch
  • Demonstrated ability performing all levels of programming activities for a clinical project
  • Experience working in the Cardiovascular or Neuromuscular areas is a plus