Terms of employment: Contract
Project duration: Four years
Duration of contract: one year with possible extension
Place: Ethiopian Public Health Institute, Addis Ababa
Reporting to: National Data Management Center for health (NDMC)
The National Data Management Center for health (NDMC) at the Ethiopian Public Health Institute (EPHI) is a responsible center to centrally archive health and health related data, process and manage health research, apply robust data analytic technics, synthesis evidence and to ensure evidence utilization for decision making by the Federal Ministry of Health (FMoH) and other relevant stakeholders at local, sub-national and national and international levels. The NDMC is looking for high caliber staff for this collaborative project. NDMC has collaborative partnership with Institute for Health Metrics and Evaluation (IHME), University of Washington and has established a Burden of Disease (BoD) Unit. The BoD Unit is responsible for data mapping, collecting, reviewing and archiving available health and health related data in the country and for producing national and subnational burden of disease estimates collaboratively with Global Burden of Disease (GBD) Study centered at IHME for population and demography, mortality and risk factors for a range of communicable diseases, non-communicable diseases, maternal newborn and child health, nutrition and for injuries. The unit creates platforms for translating BoD evidence for decision and policy at national and subnational levels. The NDMC is looking for high caliber staff for this collaborative project.
Roles and responsibilities
· Apply different mathematical modeling techniques on data’s archived at EPHI.
· Develop or apply mathematical or statistical theory and methods to collect, organize, interpret, and summarize numerical data to provide usable information.
· Solve computational and analytic challenges by investigating the data, understanding the root questions, and coming up with alternative measurement strategies.
· Examine theories, such as those of probability and inference, to discover mathematical bases for new or improves methods of obtaining and evaluating numerical data.
· Implement code solutions in order to answer analytic questions, perform diagnostics on results, and test and assess methods.
· Work under the senior data analyst and senior biostatistician to create, maintain, update databases containing health data from multiple sources such as surveys, vital registration systems, administrative records, and published studies relevant to NDMC research priorities
· Carry out routine and complex computational processes and statistical modeling that are central to generating estimates of key indicators as guided by NDMC senior data specialist/biostatistician/health economist/public health experts.
· Develop and test experimental designs, sampling techniques, and analytical methods.
· Execute queries on databases and resolve intricate questions in order to respond to the needs of senior researchers and other stakeholders.
· Helping in bringing together data, analytic engines, and data visualizations in one seamless computational process.
· Apply sampling techniques or use complete enumeration bases to determine and define groups to be surveyed.
· Use protocols to identify problems with datasets and routine computational processes, rectify issues, and systematize data for analyses
· Transform and format datasets for ongoing analyses.
· Helping in the process of cataloguing and incorporating datasets into databases.
· Develop and implement models to assess data quality.
· Coding and re-coding data contained within various databases to identify patterns by compiling Excel spreadsheets, SPSS and CSPRO
· Analyze data accurately and presenting results in a clear manner
· Data mining using state-of-the-art tools
· Processing, cleansing, and verifying the integrity of data used for analysis
· Organizing, manipulating and retrieving archived data for reporting, analysis, and presentation purposes
· Extract data for analysis using standard NDMC protocols concepts, practices and procedures
· BSc. Degree in Applied Mathematics (Computation) 0-year experience.
· GPA 3.25 and above
Skills in computer programming and familiar with in developing code in R, Python, Matlab and also familiarity with data processing and cleaning tools like PowerBI, SPSS and CSPRO
· Demonstrated self-motivation, ability to absorb detailed information, flexibility, and ability to thrive in a fast-paced, energetic, highly creative and entrepreneurial environment.
· Ability to learn new information quickly and to apply analytic skills to better understand complex information in a systematic way.
· Strong quantitative and computational aptitude.
· Robust problem-solving skills, along with a strong familiarity with data warehousing, data mining and data mapping
· Capable of presenting and interpreting results
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