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Sas Programming Manager Jobs in Illinois (NOW HIRING)

Cacheflow

Manager, Field Engineering - MFG

Chicago, IL · On-site

$172K - $237K/yr

Keep your team of SAs ahead of the technical curve. You will make sure that your team is ... Experience working with other teams such as Product Management, Engineering, and Customer Success.

Databricks

Sr. Manager, Field Engineering

Chicago, IL · On-site +1

FEQ427R411 Req ID Mission Reporting to a Director, Field Engineering, the Sr. Manager, Field Engineering will help lead a team of Solutions Architects (SAs) for the Startups segment of Databricks ...

Stripe

AI Engineer

Chicago, IL · On-site

Take high-potential tools and workflows built by SAs and managers and harden them into scalable ... Strong backend engineering fundamentals: you can debug a failing system, trace issues across ...

Stripe

AI Engineer

Chicago, IL · On-site

Take high-potential tools and workflows built by SAs and managers and harden them into scalable ... Strong backend engineering fundamentals: you can debug a failing system, trace issues across ...

LRES Corporation

Senior Biostatistician

Chicago, IL · On-site

... SAS and R programming to lead and support clinical and public health research projects. This role involves providing statistical leadership in study design, EHR data management and analysis ...

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Sas Programming Manager information

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$14

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$77

How much do sas programming manager jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for sas programming manager in Illinois is $47.49, according to ZipRecruiter salary data. Most workers in this role earn between $33.32 and $59.62 per hour, depending on experience, location, and employer.

What is a SAS programming manager?

SAS Programming Managers are professionals who oversee teams of SAS programmers, typically within the pharmaceutical, clinical research, or data analytics industries. Their responsibilities include project management, team leadership, and ensuring quality standards for statistical programming deliverables. They coordinate with other departments, manage timelines, and ensure that all data analysis and reporting using the SAS software adhere to regulatory and organizational requirements.

What are some typical challenges faced by a SAS programming manager when leading a team of programmers in a clinical research setting?

A SAS Programming Manager in clinical research often encounters challenges such as balancing tight project timelines with data quality standards, coordinating cross-functional communication between statisticians, data managers, and regulatory teams, and ensuring team members stay updated on evolving industry regulations (like CDISC standards). Managing a diverse team with varying experience levels also requires strong mentorship and effective delegation to ensure consistent deliverables. Addressing these challenges proactively helps maintain project momentum and fosters professional growth within the team.

What are the key skills and qualifications needed to thrive as a SAS programming manager, and why are they important?

To thrive as a SAS Programming Manager, you need advanced SAS programming expertise, a solid background in statistics or data analysis, and typically a degree in a quantitative field with relevant management experience. Familiarity with clinical data management systems, regulatory standards (such as CDISC), and tools like SAS Base, Macro, and SQL is essential. Strong leadership, project management, and communication skills help you effectively lead teams and collaborate across departments. These competencies ensure the delivery of high-quality data outputs, regulatory compliance, and the successful management of complex projects.

What is the difference between Sas Programming Manager vs Sas Developer?

AspectSas Programming ManagerSas Developer
CredentialsBachelor's or Master's in Computer Science, Statistics, or related field; SAS certifications often preferredBachelor's in similar fields; SAS certifications beneficial
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops SAS programs, analyzes data, implements solutions
Industry UsageUsed in healthcare, finance, pharma for project oversightUsed across industries for data analysis and reporting
Search & ComparisonOften compared for leadership roles in SAS programmingFocuses on coding and data analysis tasks

The Sas Programming Manager oversees SAS projects and manages teams, while the Sas Developer primarily focuses on coding and data analysis. Both roles require SAS skills and certifications, but the manager role involves leadership and project management responsibilities, whereas the developer role emphasizes technical programming tasks.

What are the most commonly searched types of Sas Programming jobs in Illinois?

The most popular types of Sas Programming jobs in Illinois are:

What are popular job titles related to Sas Programming Manager jobs in Illinois?

For Sas Programming Manager jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Sas Programming Manager jobs in Illinois look for?

The top searched job categories for Sas Programming Manager jobs in Illinois are:

What cities in Illinois are hiring for Sas Programming Manager jobs?

Cities in Illinois with the most Sas Programming Manager job openings:

Sas Programming Manager jobs near you

Data Analyst II - SAS, R, and Python - Hybrid Chicago or Washington, DC Office

Chicago, IL • Hybrid

NORC at the University of Chicago
Scientific Research and Development Services • 1 - 5K employees
Learn more about NORC at the University of Chicagoexternal

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

NORC at the University of Chicago rating

6.9

Company rating: 6.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

Job description

Data Analyst II - SAS, R, and Python - Hybrid Chicago or Washington, DC Office

Apply now Job no: 503874 Work type: Regular Full-Time Location: Chicago - 300 E Randolph St Capability Area: Statistics and Data Science

JOB SUMMARY:

NORC at the University of Chicago is seeking a qualified Data Analyst II to join the Statistics and Data Science department and support a diverse range of research projects. At NORC, Data Analysts are early career team members who train and work with our Statisticians and Data Scientists to perform tasks such as data processing, quality assurance, analysis, and dissemination. For this role, we are looking for someone proficient in SAS, R, and Python.

As part of their data processing responsibilities, Data Analysts import, clean, standardize, transform, and validate data sets. They also research and document data procedures and support the investigation of data problems. They may identify, analyze, and interpret trends or patterns in data sets, support modeling efforts, and help prepare data presentations and reports, including developing charts, graphs, and tables. In addition, the Data Analyst may assist in data collection and harmonization from primary or secondary data sources (e.g., administrative records, commercial data, social media data), preparing data files for delivery, and the maintenance of databases, data systems, and their relevant metadata/dictionaries. The Data Analyst is expected to work collaboratively in a team environment.

Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.

Location: This is a hybrid role based in either our Chicago Loop or downtown Washington, DC office, with a minimum of six days per month in the office.

DEPARTMENT:  Statistics and Data Science

The Statistics and Data Science department implements state-of-the-art statistical methods and develops innovations to deliver reliable data and rigorous analysis to guide critical programmatic, business and policy decisions for NORC clients. The department provides leadership throughout the project lifecycle on study design, data collection, assessment of data quality, quantitative analysis, and dissemination of results. The Statistics and Data Science department also conducts its own research and is a leader in designing and implementing rigorous, efficient methods for sampling, weighting, and imputation for sample surveys and evaluation research. The department provides expertise and leads NORC strategy on the use of a broad range of methods and techniques, including statistical modeling, machine learning methods, data linkage, statistical matching, data disclosure control, small area estimation, Bayesian analysis, assessing data quality, data visualization for analyzing and interpreting data, and developing approaches using artificial intelligence (AI)  that support NORC's research. The department collaborates with the departments throughout NORC, as well as leading its own projects.

RESPONSIBILITIES:
  • Collaborate with statisticians, data scientists, technology experts, and subject matter experts to implement and improve data management and analysis activities.
  • Develop programs and scripts for data cleaning, integration, transformation, and harmonization, as well as data quality checks and validation
  • Support and enhance applications and databases already built for various research needs and produce data documentation and dictionaries.
  • Create data dashboards and visualizations, including preparing charts, graphs, and tables for reports and presentations.
  • Perform various types of data analysis and modeling, often involving multiple data sets.
  • Contribute to documentation, reports, and presentations through writing sections, creating basic analytic summaries, and developing tables and graphics.
  • Apply AI tools to help improve efficiency.
  • Perform other duties as assigned.
REQUIRED SKILLS:
  • Bachelor's degree in one of the following fields: statistics, math, data science, computer science, or computational social science or related field required.
  • Proficiency with data management, quantitative analysis and modeling, data reduction techniques and data visualization.
  • At least 2 years' experience in positions of increasing responsibility, preferably working with large data sets, and conducting statistical and quantitative modeling, statistical/analytic programming, and data mining
  • Strong foundation in areas of statistics, mathematics, and data science.
  • Coding skills in SAS, R, and Python required.
  • Additional expertise in areas of machine learning such as natural language processing and supervised/unsupervised modelling preferred.
  • Experience using AI tools and methods (e.g., prompt engineering, agentic AI, model evaluation) is preferred.
  • Strong skills in problem solving and quantitative analysis are required.  Able to organize and prioritize work assignments to meet project needs.
  • Outstanding interpersonal and critical reasoning skills.
  • Proficiency with MS Office software.
  • Qualified applicants must be eligible to work in the U.S. We regret that we are unable to offer visa sponsorship for this position.
SALARY AND BENEFITS:

The pay range for this position is $72,000 - $88,000.

This position is classified as regular. Regular staff are eligible for NORC's comprehensive benefits program. Benefits include, but are not limited to:  

  • Generously subsidized health insurance, effective on the first day of employment 

  • Dental and vision insurance  

  • A defined contribution retirement program, along with a separate voluntary 403(b) retirement program  

  • Group life insurance, long-term and short-term disability insurance 

  • Benefits that promote work/life balance, including generous paid time off, holidays; paid parental leave, bereavement leave, tuition assistance, and an Employee Assistance Program (EAP). 

NORC is committed to equity and transparency in its pay practices. We publish salary ranges and benefit information for every job. The listed hiring range reflects what we, in good faith, expect to pay at the time of posting, though actual compensation may vary and may be adjusted over time. A candidate's placement within the range depends on factors such as competencies, education, qualifications, experience, skills, performance, and organizational needs.

WHAT WE DO:

NORC at the University of Chicago is an objective, non-partisan research institution that delivers reliable data and rigorous analysis to guide critical programmatic, business, and policy decisions. Since 1941, our teams have conducted groundbreaking studies, created and applied innovative methods and tools, and advanced principles of scientific integrity and collaboration. Today, government, corporate, and nonprofit clients around the world partner with us to transform increasingly complex information into useful knowledge.

WHO WE ARE:

For over 80 years, NORC has evolved in many ways, moving the needle with research methods, technical applications and groundbreaking research findings. But our tradition of excellence, passion for innovation, and commitment to collegiality have remained constant components of who we are as a brand, and who each of us is as a member of the NORC team. With world-class benefits, a business casual environment, and an emphasis on continuous learning, NORC is a place where people join for the stellar research and analysis work for which we're known, and stay for the relationships they form with their colleagues who take pride in the impact their work is making on a global scale.

EEO STATEMENT: 

NORC is an equal opportunity employer. NORC evaluates qualified applicants without regard to race, color, religion, sex, gender, national origin, disability, status as a protected veteran, sexual orientation, and other legally protected characteristics.

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Advertised: August 14, 2026 Central Daylight Time Applications close:

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