Information Science Coordinator
The Information Science Coordinator will support the Strategic Information (SI) and Implementation Science (IS) teams at the Centre for Infectious Disease Research in Zambia (CIDRZ). The Coordinator will be a catalyst for capacity building in data science by supporting individual-level and aggregate analyses. They will become proficient in methods to access data from CIDRZ’s databases, clean and analyze data, and identify and codify more efficient processes for reporting. The Coordinator will also produce visualizations, reports, and take-aways to inform data-driven decisions. CIDRZ’s databases include SmartCare, an Electronic Health Records (EHR) management system developed in the C# programming language and running Microsoft SQL Server as its database backend, as well as project-specific databases including enteric diseases, cervical cancer, and hepatitis B cohort.
- Work with the data team to develop streamlined and efficient processes for pulling data from the SmartCare EHR to support SI and IS activities
- Assist program managers with the assessment and analysis of programmatic data, including the application of retrospective cohort designs and IS methods such as regression discontinuity, interrupted time series, and quasi-experimental designs.
- Review the development and finalization of training guides and documents created to support the capacity building in Data Science
- Prepare analytical and program related study related reports, presentations, and publications in collaboration with the SI and IS teams
- Support data collection, cleaning, and analysis for a variety of programmatic evaluations and implementation science projects
- Assist the SI team in developing new dashboards for reviewing programmatic data
- Assist PIs with the writing, editing, and submission of publications and grants
- Liaise with other CIDRZ staff as required
Skills and Experience
- Bachelor’s degree*
- Preferred: Master’s degree in a health field (e.g. Epidemiology), a social science (e.g. Statistics, Biostatistics, or Economics), or another related field
- Experienced with statistical software like STATA, R, or SAS*
- Experience running queries and reports in a database system*
- Strong quantitative data analysis skills with experience synthesizing results into visuals, reports, or other materials*
- Research experience, with preference for patient-oriented and/or epidemiological research and/or longitudinal data analysis
- Proficient in programming languages SQL or C+, which will ease the learning curve on the SmartCare database
- Proficiency in mapping software, e.g. ArcGIS
- Familiar with implementation science analytical approaches such as interrupted time series and regression discontinuity
- Attention to detail
- Multi- tasking
About the Organization
Established in 2001, CIDRZ is an independent Zambian organisation with a broad academic mission in public health programming, clinical and outcomes research, and training. CIDRZ works in close partnership with the Government of Zambia and actively collaborates with the University of Zambia and multiple leading U.S. and European universities. CIDRZ has substantial programmes in the fields of HIV/AIDS prevention and treatment, tuberculosis, women’s health, reproductive cancer screening, new-born and child health, primary health and health systems strengthening, and community outreach. Other priority areas for CIDRZ include enteric diseases, hepatitis, and mental health. CIDRZ faculty and collaborators offer mentorship in diverse areas, and are amongst the world’s leading thinkers on issues related to implementation science, infectious diseases, and broader health. For more information, please visit our website at www.cidrz.org.
Stipend, Benefits, and Logistics
Click here to learn about the stipend, benefits, and logistics associated with the GHC fellowship.
Note: these vary depending on placement country and citizenship.