Summer GIS Internship with Kaiser (PDX)

To submit an application: https://kp.taleo.net/careersection/external/jobdetail.ftl?job=443261 

Department Overview: 
KP’s Utility for Care Data Analysis (UCDA) was created in 2005 to ensure that analysts and researchers throughout KP are able to fully realize the analytical potential of KP HealthConnect™ (KPHC) and other KP enterprise-level information systems to further KP’s mission - improving the health of our members and the communities we serve. We accomplish this by:  • Identifying and eliminating barriers that prevent analysts and researchers from effectively using data from KPHC and KP's other enterprise-level information systems  • Supporting collaboration among analysts and researchers within and across KP Regions  • Consolidating information and expertise to anticipate KP's future analytical requirements  • Partnering with KP-IT to ensure that KP’s information systems will support those requirements  • Conducting interregional reporting and analysis as requested by both Medical Group and Health Plan leadership    

Intern Project Summary: 
This role could include the one or more of the following activities.  • Prototype open source technology and data sources to complement existing data sources.  • Analyze large geospatial datasets such as census, transit, consumer behavior, and business locations to understand geographic variation in health outcomes and preventive care and measure changes.  • Communicate analysis results through static maps and interactive web maps, visualizations, and information design.  • Gather requirements and proving technical assistance for ad-hoc mapping projects.  • Update training materials to support understanding of geospatial capabilities within Kaiser Permanente.  

Desired Skill Set: 
 • Currently pursuing a degree in GIS, geography, urban and regional planning, social sciences or computer science; 3.0 GPA or above  • Practical experience and/or coursework in GIS applications for population-based reporting and analysis  • High comfort level with technology and experience with technical aspects of spatial data management  • Effective verbal and written communication skills  • Analytical and detail oriented    Competencies  • Knowledge of ArcGIS applications, including ArcGIS Server web APIs, ArcGIS Online/Portal for ArcGIS, and ModelBuilder/Geoprocessing for data management and spatial analytics  • Demonstrated cartographic skills  • Light coding skills (e.g., Python, JavaScript)  • Experience in analytical environments such as SAS, SPSS, or R.  • Experience with other data visualization packages (e.g., Tableau)  • Experience with open source GIS tools and data sources  • Proven technical research, writing, and editing skills to generate project summaries, draft documents, conduct topic specific research