REPORTING TO:

Nutrition, Environmental Health, and Non-communicable Disease Research Directorate 

LOCATION: Ethiopian Public Health Institute (EPHI), Addis Ababa

Duties & Responsibilities:

The EPHI is seeking one qualified Statistician or experienced Data Analyst to work on the NIPN project within the National Information Platform for Nutrition (NIPN) Analysis Unit under the supervision of the NIPN coordinator. His/her role is to undertake the statistical analysis of data to help answer the questions posed by the NIPN advisory committee. These questions will be related to the role and impact of policies, programmes and interventions in all sectors to improving human nutrition and to tracking changes in nutrition indicators and factors that may influence nutrition over time and in space. The work of the Statistician/Data Analyst will be guided by a Senior Policy Analysis Advisor and may be undertaken in collaboration with technical advisors from sectors working on specific analysis projects. The Statistician/Data Analyst will join a small team working in the NIPN at EPHI to collect, aggregate, and merge data sets for analysis as well as creating new data sets of summary statistics for presentation in NIPN data dashboards.

The work of the Statistician/Data Analyst will involve: 

•           Cleaning data and methodically assessing its quality before analysis; 

•           Merging data sets or creating new data sets for analysis; 

•           Creating or deriving new variables from existing data sets; 

•           Labelling variables and ensuring that they are accurately described; 

•           Assessing the distribution of variables so that the most appropriate statistical tests are  

              applied;

•           Analysing data using statistical software such as STATA or R by applying the most  

             appropriate and robust statistical methods and sampling weights; 

•           Creating, annotating and maintaining syntax files of analysis that records all changes  

             made to variables and the statistical procedures applied so that they can be checked and  

             repeated; 

•           Methodically storing and cataloguing the syntax files, the output files and any history file  

             of analysis to create a record of the analysis done; 

•           Creating tables of results and statistical output; 

•           Creating maps of the distribution of variables;

•           Creating graphs and figures to present data; 

•           Helping technical advisors to interpret the output of analysis;

•           Applying best practices in data processing, management and analysis.

Job Requirements

• PhD in biostatistics, or M.Sc. degree in Statistics or Mathematics with statistics, or a degree in Epidemiology or Public Health with statistics.

• Eight years’ experience for the PhD holders and ten years’ experience (for MSc holders) of work organising and analysing large data sets, ideally biomedical or agricultural in origin, using statistical software. 

• Excellent analytical, writing, and synthesis skills.

• Experience of working with partners at international, regional and national levels

• Ability and being proactive in team works, and good command of communication skills.

• Excellent organizational and time management skills are required.

• Ability to work both independently and as a member of a team and to handle multiple

  priorities is required.

SKILLS AND KNOWLEDGE:

Experience in using statistical software is required; experience with STATA and/or R statistical software would be an advantage. An ability to write reports of the analysis done in English.

Duration 

•  1 year with possible extension based on availability of budget

Salary 

• According to EPHI scale for project staff

How to Apply

Note  Interested applicants can register in Online through only Through THIS LINK   send their CVs and relevant documents at the address given below within 07days from the first appearance of the announcement

Remarks: Please attach copies of transcripts, academic degree or recommendation letters together with the application. If not attached the copies you may be not short listed.