UNIV - Post Doc - Department of PHS

Medical University of South Carolina • Charleston, SC

1d

About The Position

The postdoctoral fellow will engage in advanced research leveraging diverse healthcare data sources, including Medicare, Medicaid, SEER, NHANES, Optum, and electronic medical records. Based at the Hollings Cancer Center (HCC) and the Medical University of South Carolina (MUSC), the fellow will contribute to federally funded studies supported by the National Cancer Institute and the National Library of Medicine, with a focus on cancer prevention, treatment, and survivorship. Research activities will encompass effectiveness and cost-effectiveness evaluations, precision public health initiatives, and health services research. The fellow will also have opportunities to collaborate on multidisciplinary projects involving mixed methods approaches and the application of machine learning (ML) and artificial intelligence (AI) to population health and clinical outcomes. Key responsibilities include contributing to manuscript development, leading presentations of study findings at national and international conferences and participating in collaborative research teams. Fellows are strongly encouraged to pursue career development grant applications, with comprehensive support provided by their mentoring team and dedicated staff at HCC and MUSC throughout the proposal process.

Requirements

• PhD in health services research/health outcomes research/ biostatistics/ epidemiology with a background in life science, pharmacy, or medicine
• Demonstrated experience conducting health economics, services, and outcomes research using software such as SAS, SQL, Stata, or other software as appropriate.
• Demonstrated expertise in administrative claims databases
• Excellent oral and written communication skills and proven ability to interact with a diverse researcher.

Responsibilities

• Develop and use analytic data sets, models, and various analytic methods to understand the impacts of healthcare programs and interventions on cost, quality, and outcomes of care.
• Participate in data integration, data cleaning, descriptive analyses, exploratory analyses, and economic modeling tasks.
• Conduct literature review and summarize research related to cancer prevention and control, population health, social determinants of health, health disparities, health behaviors, and other topics.
• Other duties as assigned

What This Job Offers

• Job Type: Full-time
• Education Level: Ph.D. or professional degree
• Number of Employees: 5,001-10,000 employees