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. Entity Medical University of South Carolina (MUSC - Univ) Worker Type Employee Worker Sub-Type Research Grant Cost Center CC001038 COM PHS Operations CC Pay Rate Type Hourly Pay Grade University-GEN07 Pay Range 39,300.00 - 53,100.00 - 66,800.000 Scheduled Weekly Hours 40 Work Shift Job Description 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. Responsibilities 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% MUSC Minimum Training and Experience 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. Preferred Qualifications 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. Additional Job Description Minimum 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. Physical requirements include activities such as standing, walking, lifting up to 15 lbs, and vision/hearing requirements as described. Specifics are detailed in the original posting. The Medical University of South Carolina is an Equal Opportunity Employer. MUSC does not discriminate on the basis of race, color, religion or belief, age, sex, national origin, gender identity, sexual orientation, disability, protected veteran status, family or parental status, or any other status protected by state laws and/or federal regulations. All qualified applicants are encouraged to apply and will receive consideration for employment based upon applicable qualifications, merit and business need. MUSC participates in the federal E-Verify program to confirm the identity and employment authorization of all newly hired employees. For further information about the E-Verify program, please visit the official USCIS page. #J-18808-Ljbffr