Statistical Programmer

Posting Information

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

Position Information

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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.

Special Physical/Mental Requirements Campus Security Authority Responsibilities

Not Applicable.

Special Instructions 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 annette_raines@unc.edu 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 (919) 843-2300 or send an email to employment@unc.edu

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.

Applicant Documents

Required Documents

• Curriculum Vitae / Resume
• Cover Letter
• List of References

Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).

• • Please select the response below that describes your level of education that best or most closely satisfies the education requirements for this position.

• Bachelor's degree in required discipline(s) listed or related field

• Bachelor's degree in any field/discipline

• Master's degree or Doctorate degree in required discipline(s) listed or related field

• Master's degree or Doctorate degree in any field/discipline

• None of the above

• • Please describe your experience developing tools to make your own work or the work of your colleagues more efficient or less prone to error. Be specific regarding the role(s) you served in and the activities performed in those roles.

(Open Ended Question)

• • Please describe your level of experience using SAS, R, or other statistical software for data analysis, visualization, and reporting. Be specific regarding the set of procedures (SAS) and/or packages (R) with which you are proficient.

(Open Ended Question)