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Individual Consultant to support data analysis for dietary assessment and impacts for the Philippines Study.

CGIAR Better Diets and Nutrition program on End-to-end solutions for perishable nutrient-rich foods Area of Work 3 (BDN-AoW3): Data analysis for dietary assessment and impacts for the Philippines Study.

Location: Worldwide

Organization: The International Food Policy Research Institute (IFPRI)

Closing Date: 25 September 2026

Job Description

Poor diets are a primary cause of malnutrition and the leading cause of diseases worldwide. Improving diets, including increasing fruit and vegetable intake, could save one in five lives lost annually. Micronutrients and dietary fiber are essential for health; micronutrients obtained from fruit and vegetables have a lower environmental footprint than from other foods, making fruit and vegetables essential to healthy and sustainable diets. Globally, fruit and vegetable intake is far below recommended levels, however, the extent and nature of the problem is poorly understood due to insufficient dietary data, especially in low- and middle-income countries.

Increasing fruit and vegetable intake will require starting with consumers, understanding dietary patterns, and addressing desirability, accessibility, affordability, and availability barriers through cost-effective solutions. Solutions must take a holistic end-to-end approach that starts from intake and works back through the food system to improve accessibility of fruits and vegetables and increase year-round supply of a diverse range of safe, affordable, nutrient-dense vegetables.

The International Food Policy Research Institute, through the CGIAR Better Diets and Nutrition program, is studying an end-to-end approach to increase fruits and vegetables intake, improve diet quality, nutrition and health while also improving livelihoods, empowering women and youth, and mitigating negative environmental impacts.

Under BDN, IFPRI has partnered with the Asian Development Bank, Department of Social Welfare and Development, World Food Program and Agence Française de Développement to assess the impacts of a national e-voucher program on dietary intakes in the Philippines. This consultancy is to support data analysis for dietary assessment and impacts.

The consultant will provide technical support for the cleaning, quality assurance, and analysis of dietary intake data collected among women and children in the Philippines using the 24-hour dietary recall multi-pass method.

Scope of Work

The consultant will work closely with the research team to:

  • Review and clean dietary intake data collected through 24-hour dietary recalls using the multi-pass method.
  • Identify, document, and help resolve data quality issues, including missing, inconsistent, or implausible dietary records.
  • Conduct data quality assurance checks and prepare analytical datasets.
  • Collaborate with the research team to implement appropriate protocols for data cleaning and validation.
  • Analyze dietary intake data, including estimation of nutrient intakes and dietary indicators, under the guidance of the research team.
  • Prepare analytical outputs, including tables, figures, and summary statistics.
  • Document data management and analytical procedures to ensure reproducibility and transparency.
  • Contribute to interpretation of findings and preparation of technical reports or presentations as needed.

Deliverables

  1. Data quality assessment report outlining key data issues and proposed resolutions.
  2. Cleaned and documented dietary intake dataset.
  3. Data cleaning and analysis syntax/files and accompanying documentation.
  4. Analytical outputs and brief technical memo summarizing methods and key findings.

Duration: 30 days – from 09/30/26 until 12/31/2026.

Qualifications

  • Advanced degree in nutrition, public health, epidemiology, biostatistics, or a related field.
  • Experience working with 24-hour dietary recall data and dietary assessment methods.
  • Demonstrated skills in dietary data management and analysis.
  • Proficiency in Stata, R, SAS, or similar statistical software.
  • Experience calculating nutrient intakes and dietary quality indicators is preferred.

Application

Please submit: (1) an updated CV demonstrating relevant experience and (2) requested daily rate, and (3) if available, an example of a relevant assessment report, or similar work.

 

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