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The University of South Carolina in Columbia, SC seeks a health data analyst focused on health services research. The role emphasizes analysis of claims/encounter data, with priority on Medicaid/Medicare and electronic health record data used in MCH contexts.
Proficiency in SAS, SQL, R, and Python is required. Candidates should have 4+ years of experience in health data analysis and a willingness to work a standard Monday–Friday schedule 8:30am–5:00pm.
Preferred Qualifications
Experience/training in health services research. At least 4 years of experience with the analysis of claims/encounter data. Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems. Understanding of and/or experience with analysis of electronic health record data, including data elements used in MCH contexts. Strong proficiency in SAS , SQL , R, and Python.
Preferred Qualifications
Experience/training in health services research. At least 4 years of experience with the analysis of claims/encounter data. Strongly prefer an understanding of Medicaid, Medicare, and/or private healthcare claims data systems. Understanding of and/or experience with analysis of electronic health record data, including data elements used in MCH contexts. Strong proficiency in SAS , SQL , R, and Python.
Work Schedule
Monday through Friday, 8:30am until 5:00pm. Must be willing to work a flexible schedule to meet the needs of the department.