Statistical Programmer

UNC-Chapel Hill•Chapel Hill, NC

About The Position

This Statistical Programmer position provides SAS programming services to fulfill the needs of 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 the 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 the use of R, Python, JavaScript, and other statistical programming languages (e.g., MPlus, Stata).

Requirements

  • 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.
  • Customer service orientation.
  • Ability to pay close attention to detailed specifications.
  • Interest in understanding and meeting broader study goals.

Nice To Haves

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

Responsibilities

  • Provide SAS programming services to fulfill the needs of ongoing CSCC projects.
  • Perform programming in response to written computing requests.
  • Engage in sophisticated data management programming.
  • Produce complicated tables and graphs.
  • Run statistical analyses.
  • Potentially use R, Python, JavaScript, and other statistical programming languages (e.g., MPlus, Stata) for study computing needs.
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