Organization: Univ. of South Carolina/Institute for Families in Society/Division of Medicaid Policy and Research
Title: GIS Research Associate
Location: Columbia, SC
GIS Research Associate
Salary range: Salary commensurate with qualifications
University of South Carolina/Institute for Families in Society - MPR Division is seeking a GIS Research Associate. Position will use Geographic Information System (GIS) software, tools and methods to geocode data, perform advanced spatial analyses, generate map and infographic products, and automate spatial and data management processes in a fast paced, applied research environment. Position will identify, develop, and implement new geospatial tools and methods as appropriate. Position will be responsible for process documentation and maintenance of metadata. Staff will be a member of a GIS unit using latest ESRI software (ArcGIS Desktop, Server, ArcGIS Pro, and ArcGIS Online), spatial statistical software, and ancillary tools (Excel, Access, Internet-based data sources, SQL Server). This position is established in support of expanded research activities and projects.
Master's degree in geography, public health, earth sciences, life sciences, engineering, or a related field and 5 years related experience. Knowledge of GIS principles, concepts, and methods. Knowledge of spatial analytical/spatial statistical theory and methods. Working knowledge and experience with ArcGIS Desktop 10.4, address processing, and geocoding. Ability to operate GlS equipment (e.g. plotter). Demonstrable expertise in cartographic design and production, and proficiency in the application of spatial analytical methods. Ability to develop and implement GIS automation applications, quality assurance protocols, and metadata standards. Proven ability to conceptualize and complete complex projects with thorough documentation and demonstration of applied logic. Ability to communicate effectively with supervisors, project leader, and co-workers both orally and in writing. Ability to work in a team environment as well as a goal-oriented individual who functions with the highest level of integrity and professionalism.
Preferred: Knowledge of public health concepts and methods. Experience working with health-related datasets (Medicaid/Medicare, hospitalization data, cancer data, etc.), calculating prevalence or incidence rates, and mapping health data.Â Experience with Python scripting and coding in Microsoft SQL Server Management Studio. Experience working with large is desirable. Web GIS skills and experience are a plus.
The University of South Carolina requires individuals to complete an online application. You may access the USC Jobs Online Employment site at http://uscjobs.sc.edu. Please reference # 011419
The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of race, color, religion, sex, national origin, age, disability, sexual orientation or veteran status.