You will manage and analyze complex medical, dental, and mental health claims datasets to support healthcare access initiatives.
Responsibilities
Review and process healthcare claims data from various health centers.
Manage and operate large, complex datasets involving medical and dental visit information.
Conduct technical research and statistical analysis within public health or economic contexts.
Apply methodologies to perform probabilistic data linkage.
Required Skills
Two years of technical research and statistical analysis experience in epidemiology, public health, economics, or a related field.
Proven experience in the use, operation, and management of database systems.
Intermediate to advanced SAS programming skills, specifically for probabilistic data linkage.
Bachelor's degree from an accredited institution.
Minimum of 12 semester hours in Epidemiology, Public Health, Health Informatics, Health Information Management, Economics, Statistics, Quantitative Analysis, Operations Research, or Market Research.
Experience in Information Technology Project Development or Business Process Analysis.
Preferred Skills
Experience with R or Python.
Proficiency in Microsoft PowerBI, Tableau, or ArcGIS for data visualization.
Master's level coursework in epidemiology, biostatistics, or a related field.