Statistician

Position Summary
Lineberger Comprehensive Cancer Center is seeking a statistician with strong SAS programming and data management expertise to support multiple local and national epidemiologic studies. The position will play a key role in the design implementation and analysis of population-based research including the Benign Breast Disease ( BBD ) arm of the Carolina Breast Cancer Study a large national effort to understand BBD and its implications as well as additional North Carolina cancer outcome cohorts. The statistician will be responsible for overseeing study data systems; developing and maintaining high-quality analytic datasets; implementing rigorous data quality assurance procedures; and providing statistical programming descriptive analyses and methodological support to study investigators. Advanced SAS programming proficiency strong statistical reasoning efficient data management practices outstanding documentation skills and the ability to work independently are essential for success in this role.

Required Qualifications Competencies And Experience
This position requires substantial SAS programming and data management experience working with large complex datasets. Candidates must demonstrate advanced proficiency in SAS data step programming SAS macros PROC SQL and the generation and interpretation of descriptive statistics. Required skills include the ability to import clean merge and document multifaceted data files; implement and monitor rigorous data quality control procedures; construct and document complex analytic datasets derived from multiple primary sources; and create well-defined derived variables to support statistical analyses. Experience producing descriptive summary outputs generating formatted analytic reports and maintaining standardized reproducible data documentation is essential. The candidate must demonstrate strong statistical reasoning exceptional attention to detail and excellent interpersonal listening oral and written communication skills. Knowledge of data security principles and experience working with Protected Health Information ( PHI ) are required. The ideal candidate will be able to work independently manage and prioritize multiple tasks to meet project deadlines and proactively acquire new statistical programming skills (in SAS or other languages) as needed to support evolving analytic needs.

Preferred Qualifications Competencies And Experience
Preferred: Highly valued qualifications include experience conducting statistical analyses using fundamental and intermediate methods (e.g. logistic regression and other generalized linear models) as well as familiarity with modern data visualization techniques for exploratory and analytic reporting. Proficiency with additional statistical or data-centric software such as R Python and/or REDCap is strongly preferred. Candidates with a PhD in biostatistics statistics epidemiology or a related quantitative field are encouraged to apply and may have opportunities to contribute more broadly to analytic strategy methodological development and interpretation of study findings. Previous experience in biomedical or public health research is desirable but not required.