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Statistics Programmer Jobs in Illinois (NOW HIRING)

Senior SAS Programmer

Winnetka, IL ยท 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 ...

Provide programming specifications for derived variables and analysis datasets. Partner with Data Science in preparing for database lock. * Independently perform statistical analyses as per the ...

Provide programming specifications for derived variables and analysis datasets. Partner with Data Science in preparing for database lock. * Independently perform statistical analyses as per the ...

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 ...

Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We ...

Senior Analyst, Marketing Science

Chicago, IL ยท 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 ...

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Statistics Programmer information

What are Statistics Programmers?

Statistics Programmers are professionals who specialize in writing code to analyze and manage data, often for clinical trials, research studies, or business analytics. They use statistical software like SAS, R, or Python to clean, organize, and interpret data, generating reports and visualizations to support decision-making. Their work is critical in ensuring that data-driven findings are accurate, reproducible, and comply with industry standards. Statistics Programmers often collaborate with statisticians, data managers, and researchers to deliver reliable results. They play a key role in translating complex data into actionable insights.

How do Statistics Programmers typically collaborate with biostatisticians and data managers in a clinical research setting?

Statistics Programmers frequently work closely with biostatisticians to understand statistical analysis plans and translate them into efficient programming code, often using SAS or R. They also coordinate with data managers to ensure data integrity, address discrepancies, and maintain consistency in datasets. This collaborative environment requires clear communication and adaptability, as project requirements and timelines can shift based on regulatory demands or study changes. Building strong relationships with these teams helps ensure high-quality deliverables and fosters professional growth.

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

To thrive as a Statistics Programmer, you need a strong background in statistics, programming (especially SAS or R), and data analysis, typically supported by a degree in statistics, mathematics, or a related field. Proficiency with statistical software such as SAS, R, or Python, and familiarity with clinical data standards like CDISC, are highly valued, and certifications in these tools can be advantageous. Attention to detail, problem-solving skills, and effective communication are crucial soft skills for interpreting data and collaborating with cross-functional teams. These competencies ensure accurate data analysis, efficient reporting, and compliance with industry standards, which are vital for success in this role.

What is the difference between Statistics Programmer vs Data Analyst?

AspectStatistics ProgrammerData Analyst
Required CredentialsBachelor's in Statistics, Mathematics, or related field; programming skillsBachelor's in Statistics, Data Science, or related field; analytical skills
Work EnvironmentClinical trials, research institutions, pharmaceutical companiesBusiness, marketing, finance, healthcare organizations
Employer & Industry UsageUsed in clinical research, biotech, pharmaUsed across various industries for data interpretation

While both roles involve data analysis, Statistics Programmers primarily focus on programming and analyzing data for research or clinical trials, whereas Data Analysts interpret data to inform business decisions. The roles often overlap in skills and tools but differ in application and industry focus.

What job categories do people searching Statistics Programmer jobs in Illinois look for? The top searched job categories for Statistics Programmer jobs in Illinois are:
What cities in Illinois are hiring for Statistics Programmer jobs? Cities in Illinois with the most Statistics Programmer job openings:
Infographic showing various Statistics Programmer job openings in Illinois as of June 2026, with employment types broken down into 79% Full Time, 20% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
Sr. Statistical Programmer

Sr. Statistical Programmer

Redbock - an NES Fircroft company

Mundelein, IL โ€ข On-site

Other

Posted 20 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 โ€“ 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