August 20, 2021 | covid-19, health equity, community engagement
The Computational Epidemiology Lab (CEL) at the College of Public Health is seeking candidates for several Research Assistant (RA) positions. The Center for HOPES collaborates with Dr. Ayaz Hyder’s CEL on all of the associated projects, so all of the RAs hired into these positions will have the opportunity to work with Center staff. Do you have a passion for data science and community engagement? We encourage you to apply!
The first (R26315) will support a federally-funded project focused on COVID-19 vaccinations and health equity. The ideal candidate will have a background in data entry, data management, working with GIS data, using R (at least a beginner to intermediate level), working in a fast-paced environment, managing projects involving over a dozen stakeholders and engaging with stakeholders in a professional manner.
A second (R26316) will support a PCORI-funded project on building capacity for patient centered outcomes research and comparative effectiveness research among American Muslim institutions around COVID-19 vaccines. Capacity building will take place through a variety of activities, such as online/in-person convenings, developing curriculum and teaching about translational data analytics research. The ideal candidate will have a background in managing projects involving diverse stakeholders, engaging with stakeholders in a professional manner, developing curriculum materials, organizing online meetings, experience with community-engaged research, organizing in-person meetings, interest or background in the subject area, experience working with religious minority organizations/communities.
Another RA (R26310) will support two federal and local health department-funded projects: COVID-19 Analytics and Targeted Surveillance System for School Districts (CATS) and opioid addiction surveillance project. The ideal candidate will have a background in developing and maintaining interactive dashboards using ShinyR, spatial analysis, time-series analysis, descriptive analysis, statistical analysis, documenting code, data visualization, working with GIS data, working in a fast-paced environment, and managing multiple dashboard projects.
A final RA (R26302) will support local health department-funded projects on COVID-19 Analytics and Targeted Surveillance System for School Districts (CATS) and COVID-19 vaccine equity mapping tools. The ideal candidate will have a background in data entry, data management, working with GIS data, using R (at least a beginner to intermediate level), working in a fast-paced environment, managing projects involving over a dozen stakeholders and engaging with stakeholders in a professional manner.