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The Programmer/Research Analyst will support research initiatives using large scale healthcare data sources, including Medicare, Medicaid, SEER, NHANES, Optum, and electronic medical records. Working within the Hollings Cancer Center (HCC) and the Medical University of South Carolina (MUSC), this role contributes to federally funded projects supported by the National Cancer Institute and the National Library of Medicine, with a focus on cancer prevention, treatment, and survivorship. The analyst will design, build, and maintain analytic datasets; develop reproducible pipelines; and implement computational methods that enable effectiveness and cost effectiveness studies, precision public health research, and health services research. The role also offers opportunities to collaborate on multidisciplinary projects involving mixed methods research and the application of machine learning (ML) and artificial intelligence (AI) to population level and clinical outcomes.
Job Responsibility:
Build and maintain analytic datasets and data pipelines
Develop statistical and computational code for analyses and modeling
Perform data integration, cleaning, and transformation
Conduct descriptive and exploratory analyses
Conduct literature reviews and support research synthesis
Requirements:
A high school diploma and two years work experience as a Statistical and Research Analyst I.. A bachelor's degree with mathematics and/or statistics courses may be substituted for the required work experience.
Master’s degree (minimum) in health informatics, data science, health services research, biostatistics, epidemiology, or a related quantitative field.
Demonstrated experience programming with SAS, SQL, Python, R, or Stata, including building and managing large analytic datasets.
Proven experience working with administrative claims data or other large‑scale healthcare datasets.
Strong oral and written communication skills and the ability to work effectively with a diverse research team.