UNIV - Statistical and Research Analyst II - Department of PHS

Job Description Summary

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.

Medical University of South Carolina (MUSC - Univ)

Employee

Research Grant

CC001038 COM PHS Operations CC

Hourly

University-GEN
07

39,300.

- 66,800.000

40

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.

Key responsibilities include developing high-quality, well-documented code; supporting manuscript-ready analyses; contributing to presentations at national and international conferences; and participating in collaborative research teams. Team members are encouraged to pursue career development opportunities, with strong support from mentors and dedicated staff at HCC and MUSC.

• Build and maintain analytic datasets and data pipelines
• Design, implement, and document reproducible workflows for assembling large-scale healthcare datasets used in real-world evidence and oncology research. Percentage time allocation: 30%
• Develop statistical and computational code for analyses and modeling
• Write efficient, well-structured code to support effectiveness, cost-effectiveness, and health services research, including model implementation and validation. Percentage time allocation: 25%
• Perform data integration, cleaning, and transformation
• Merge heterogeneous data sources (claims, EMR, registry, survey data), conduct quality checks, and prepare analysis-ready datasets. Percentage time allocation: 20%
• Conduct descriptive and exploratory analyses
• Generate summary statistics, visualizations, and preliminary findings to guide study design and analytic decisions. Percentage time allocation: 15%
• Conduct literature reviews and support research synthesis
• Review and summarize scientific literature related to cancer prevention and control, population health, social determinants of health, health disparities, and related topics. Percentage time allocation: 10%

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…