Statistical Programmer

University of North Carolina - Chapel Hill; Elkins Hills (NC); On-site; USD 62,000 - 87,000; Full time

Job summary

University of North Carolina at Chapel Hill and the Collaborative Studies Coordinating Center seek a Statistical Programmer to support SAS programming for ongoing projects. You will produce tables, graphs, and analyses under senior staff guidance, contributing to high-quality study outputs.

The role requires a degree with 1+ year SAS experience, strong DATA step and macro skills, and good communication. Experience with R/Python/JavaScript is a plus.

Qualifications

• At least one year of professional SAS programming experience.
• Strong SAS DATA step and SAS macro programming skills.
• Excellent communication and ability to work independently or in a team.
• Experience with R, Python, or JavaScript is preferred.

Responsibilities

• Provide SAS programming for ongoing CSCC projects.
• Create complex tables, graphs, and perform statistical analyses.
• Collaborate with study teams and follow project guidelines.

Skills

SAS programming

Communication skills

Teamwork

Education

Bachelor's degree

Master's degree

Tools

SAS

R

Python

JavaScript

Job description

Posting Information

• Department: Biostatistics - CSCC-462002
• Career Area: Information Technology
• Posting Open Date: 09/29/2026
• Application Deadline: 10/13/2026
• Open Until Filled: No
• Position Type: Permanent Staff (EHRA NF)
• Working Title: Statistical Programmer
• Appointment Type: EHRA Non-Faculty
• Position Number: 20078665
• Vacancy ID: NF0010047
• Full Time/Part Time: Full-Time Permanent
• FTE: 1
• Hours per week: 40
• Position Location: North Carolina, US
• Hiring Range: $62,115 - $87,000
• Proposed Start Date: 11/02/2026

Company Description

A global higher education leader in innovative teaching, research and public service, the University of North Carolina at Chapel Hill consistently ranks as one of the nation's top public universities. Known for its beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in the United States, Chapel Hill has diverse social, cultural, recreation and professional opportunities that span the campus and community. University employees can choose from a wide range of professional training opportunities for career growth, skill development and lifelong learning and enjoy exclusive perks for numerous retail, restaurant and performing arts discounts, savings on local child care centers and special rates on select campus events. UNC-Chapel Hill offers full-time employees a comprehensive benefits package, paid leave, and a variety of health, life and retirement plans and additional programs that support a healthy work/life balance.

Primary Purpose of Organizational Unit

Collaborative Studies Coordinating Center The Collaborative Studies Coordinating Center (CSCC) is a division within the Department of Biostatistics of the School of Public Health at the University of North Carolina at Chapel Hill, NC (UNC). As the coordinating center for a number of multi-center clinical trials and epidemiology studies, the CSCC provides study design, data management, statistical analysis, quality assurance, and study management services to a broad array of projects funded primarily by the National Institutes of Health (NIH). The organization includes faculty from the departments of Biostatistics, Epidemiology, and Medicine and research staff with training and experience in biostatistics, epidemiology, computer science/data management, and project management. Total employees currently number between 100 and 105. The CSCC is responsible for approximately $32,000,000 in funding for 55-60 contracts and grants, and an additional 65 subcontracts. The CSCC was established in 1971 as the Lipid Research Clinics (LRC) Coordinating Center and has operated continually since that time. To reflect the addition of new studies and expansion into new research areas, the LRC Coordinating Center changed its name to the Collaborative Studies Coordinating Center (CSCC) in 1984. Major research programs currently include the Atherosclerosis Risk in Communities Study (ARIC); Adolescent Medicine Trials Network for HIV/AIDS Interventions (ATN); SPIROMICS II: Biological underpinning of COPD heterogeneity and progression (SPIROMICS II); SPIROMICS GIC Support; Data, Modeling, and Coordination Center for PrecISE Network (PrecISE); Hispanic Community Health Study (HCHS); and Preconceptional health of Latinas and its association with child adiposity (HCHS-FLOR). Information on these, as well as others can be found at http://www.cscc.unc.edu/cscc/index.php.

Position Summary

This Statistical Programmer position provides SAS programming services to fulfill needs of the ongoing CSCC projects. Programming is done in response to written computing requests and involves sophisticated data management programming, producing complicated tables and graphs, and running statistical analyses. Work is performed under direction of a study’s lead programmer or study project manager or the center’s statistical computing manager. Study computing needs sometimes diversify beyond SAS to entail use of R, Python, JavaScript, and other statistical programming languages (e.g., MPlus, Stata).

Minimum Education and Experience Requirements

Master's or Bachelors and 0-2 years' experience; or will accept a combination of related education and experience in substitution.

Required Qualifications, Competencies, and Experience

• At least one year of professional work experience in SAS programming for statistical applications.
• Excellent SAS DATA step and SAS macro facility programming skills with demonstrated ability to develop, understand, and maintain complex programs to fulfill clinical study data management and reporting needs
• Effective interpersonal, oral, and written communication skills.
• Demonstrated ability to work effectively both independently with general guidelines and little supervision as well as in a collaborative team environment working with strict development requirements and guidelines.
• Knowledge of statistical concepts is essential for understanding the context of the work and for communication purposes. Successful performance in this position will require a customer service orientation and the ability to pay close attention to detailed specifications as well as interest in understanding and meeting broader study goals

Preferred Qualifications, Competencies, and Experience

Experience using R, Python, and/or JavaScript for data management and analysis, including graphical displays.

Campus Security Authority Responsibilities

Not Applicable.

Quick Link

https://unc.peopleadmin.com/postings/325547

Posting Contact Information

• Department Contact Name and Title: Annette Raines, HR Consultant
• Department Contact Telephone or Email: [e-mail]
• Office of Human Resources Contact Information: If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at [phone] or send an email to [e-mail]. Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.
• Equal Opportunity Employer Statement: The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.