Background of the project 

The International Rescue Committee is implementing a project in DRC, Burkina Faso, Chad, Niger and Somalia to ensure that treatment for acute malnutrition is cost-effective and improves coverage at scale. Before the end of this year, we will complete baseline coverage surveys in all five countries which the consultant will support. The consultant will report to the Coverage Advisor for the project.

Scope of Work:

  • The consultant will clean, weight and analyze data from cluster-based population level nutrition surveys in DRC, Burkina Faso, Chad, Niger, Somalia:
  • Conduct and document data cleaning including consistency checks and recoding variables as necessary.
  • Develop survey weights to account for survey design, non-response, and non-coverage
  • Populate analytic table shells with point estimates and confidence intervals for indicators including coverage of treatment for severe acute malnutrition, prevalence of severe acute malnutrition
  • Support IRC in presentation and interpretation of coverage results.

Deliverables:

  •  Populated analytic tables including weighted point estimates and confidence intervals (table shells will be provided)
  •  Well annotated code (i.e., do-files/ R-script) that can be used to reproduce results from the raw data and easily adapted for similar analyses
  •  Documentation that briefly describes data cleaning and weighting procedures

Qualifications

  • You have an advanced degree (preferably a PhD) in Statistics, Demography or a related field
  • You have at least 3 to 5 years’ experience as a survey statistician for large, high-quality population-based surveys
  • You have previous experience in similar assignments (health and nutrition studies, population-based surveys in humanitarian contexts)
  •  You have demonstrated experience working in STATA and or R.
  • You exhibit good interpersonal and communication skills.
  •  You are focused and efficient at producing results on deadline
  •  You are fluent in written and spoken English, proficiency in French preferred.

Interested applicants, can apply here

 

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