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An international food security organization based in Rome seeks a qualified statistician to aid in monitoring the cost of healthy diets. The role involves collecting and analyzing a range of data, developing technical tools, and supporting national agencies in data dissemination. Ideal candidates will have a master's degree in a relevant field, experience in socio-economic statistics, and strong skills in statistical software. The position offers a competitive benefits package and an opportunity to contribute to global food security efforts.
The Food and Agriculture Organization of the United Nations (FAO) contributes to the achievement of the 2030 Agenda through the FAO Strategic Framework by supporting the transformation to more efficient, inclusive, resilient and sustainable agri‑food systems, for better production, better nutrition, a better environment, and a better life, leaving no one behind.
The Statistics Division (ESS) develops and advocates for the implementation of methodologies and standards for data collection, validation, processing and analysis in the food and agriculture statistics domains. In these statistical domains, it also plays a key role in the compilation, processing and dissemination of internationally comparable data, and provides essential capacity building in support of member countries. The Division also disseminates publications, working papers and statistical yearbooks, that cover agriculture and food security statistics, including prices, investments, production, trade and agri‑environmental statistical data. Finally, as the ESS Director also plays the role of FAO Chief Statistician, the Division supports the various functions of the Chief Statistician, that is to ensure stronger governance of FAO's data and statistical system, foster consistency of FAO's Data and Statistical programme within the Strategic Framework, ensure statistical excellence through the implementation of statistical standards and quality assurance mechanisms, and position FAO's presence in data and statistical discussions at global level.
The incumbent will work in the Food Security and Nutrition Statistics team within the Statistics Division and will contribute to the implementation of a project aimed at strengthening global and national capacities to monitor the Cost and Affordability of a Healthy Diet (CoAHD). The project seeks to establish national CoAHD monitoring systems in ten targeted countries, enabling national agencies to independently calculate, analyze, and disseminate these indicators on a regular basis.
The post is located in the Statistics Division (ESS) at FAO headquarters in Rome, Italy.
FAO’s commitment to environmental sustainability is integral to our strategic objectives and operations.
Work experience in more than one location or area of work, particularly in field positions.
Experience with capacity development programs and ability to conduct trainings and tailored technical assistance.
Strong command of statistical methods including: data presentation, analysis and descriptive statistics; continuous and discrete random variables (binomial, normal, standard normal, log‑normal) and their properties; probability distributions; conditional probability, probabilities of intersections of events, Bayes' theorem; correlation and rank correlation; sampling and sample size: simple, stratified, and multistage random sampling; inference, confidence intervals, hypothesis testing and significance; linear regression (single and multiple); ANOVA; chi‑square and goodness‑of‑fit tests; nonlinear models: maximum likelihood estimation; elements of survey and questionnaire design.
Extent and relevance of knowledge and experience in the use of quantitative statistical and econometric methods.
Extent and relevance of experience and knowledge of the main data sources used for the compilation of food security and/or socio‑economic statistics.
Extent and relevance of experience in the compilation, validation, and analysis of food security and/or socio‑economic statistics.
Demonstrated ability to work under minimal supervision, present statistics materials lucidly and effectively, and produce high quality papers in English.
Extent and relevance of experience in software used for processing and analysing data, such as R and Stata.
Extent and relevance of experience in designing and delivering capacity development programmes at country level.
Ability to analyse complex statistical‑related issues.
A competitive compensation and benefits package is offered. For information on UN salaries, allowances and benefits, visit:
To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications and language skills.
Candidates are requested to attach a letter of motivation to the online profile. Once your profile is completed, please apply and submit your application. Your application will be screened based on the information provided on your online profile.
Information on qualification requirements: FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the WHED. Please ensure your qualifications align with the ISCED mappings. Incomplete applications will not be considered.
Personal information may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services. You may withdraw consent at any time.
Only applications received through the FAO recruitment portal will be considered.
We encourage applicants to submit the application well before the deadline date. If you need help or have queries, contact FAO’s client support team for assistance at https://fao.service-now.com/csp.