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Statistics Programmer information

What is a statistics programmer?

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 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?

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 are popular job titles related to Statistics Programmer jobs in Illinois?

For Statistics Programmer jobs in Illinois, the most frequently searched job titles are:

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:

Statistics Programmer jobs near you
Infographic showing various Statistics Programmer job openings in Illinois as of August 2026, with employment types broken down into 63% Full Time, 31% Part Time, and 6% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Lead Statistical Analyst

Tata Consultancy Service Limited

Chicago Ridge, IL • On-site

$130K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

Job description

Required Skillsets:
• Experience in leading a team of statistical programmers for a compound/indication or therapeutic area
• Proficiency in SAS / R programming languages to Program and validate ADaM , TFL and statistical analyses
• In-depth understanding of SAS programming concepts and techniques in drug development process and clinical study life cycle
• Good to have experience in other statistical programming languages (R).
• In-depth understanding of CDISC standards and therapeutic area (Oncology, Immunology , Neuroscience Etc.)
• Experience with regulatory filings.
• Effective communication skills (both written and verbal)
• Ability to effectively represent the Statistical Programming Organization in cross functional teams (Statisticians, Clinical Data Management, Medical Writing, Regulatory Publishing and Clinical Operations).
• Ability to accurately estimate effort required for project related programming activities.
• Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines
Key Responsibilities:
1. Leads the statistical programming activities for a compound/inidication.
2. Leads a team of statistical programmers and manages the resource planning for assigned staff.
3. Ensures timely deliverables, that all quality processes are followed and consistency within the projects.
4. Develops and oversees the development of SAS programs for the creation of ADaM data sets following CDISC standards.
5. Develops and oversees the development of SAS programs for the creation of Tables, Listings and Figures.
6. Ensures consistency of ADaM data sets for individual studies and integrated data.
7. Creates documentation for regulatory filings including reviewers guides and data definition documents.
8. Leads the development of standard SAS Macros and participates in the development of standard operating procedures.
9. Provides oversight and mentoring of assigned Statistical Programmers, Statistical Analysts and Senior Statistical Analysts.
Salary Range: $130,000- 150,000 a year
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal As sistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
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