Qualified female applicants are encouraged to apply.
People with disabilities are equally encouraged to apply. All applications will be treated with the strictest confidentiality.
Organizational Setting
The position is located in the FAO Representation in Kenya. The African Sustainable Livestock 2050 (ASL-2050) is the policy arm of the Emerging Pandemic Threats phase 2 (EPT-2) programme funded by USAID and implemented through the Emergency Centre for Transboundary Animal Diseases (ECTAD). In the last two years, it has collaborated with three governments in Eastern Africa, including Ethiopia, Kenya and Uganda, to formulate long-term (2050) livestock scenarios that point to a number of public health threats associated with the anticipated growth and transformation of the livestock sector. In the next 8 months, ASL2050 will collaborate with national government to support the identification and implementation of policy instruments that, by operationalizing the current policy framework, will reduce some of the identified public health threats along the livestock value chain. The ultimate objective is to develop and implement a scalable methodology assisting countries to successfully operationalize existing policies, both in the livestock sector and in other agricultural domains.
The methodology includes three major outputs:
A report on public health threats along the livestock value chain: stakeholders’ behaviour vs good practices The ECTAD team will examine stakeholders’ compliance with known good practices to identify public health threats at the major nodes of the livestock value chain (e.g. production; trading; marketing; etc.).
A report on public health threats along the livestock value chain: a constraint analysis For the selected node of the livestock value chain / public health threat, the ECTAD team will further examine the behaviour of private actors, of public actors (livestock, public health, and environment) and their relationships, with the objective to identify the constraints that prevent them to comply with / follow good practices.
Report on reducing public health threats along the livestock value chain: actionable instruments The ECTAD team will use policy analysis methods to identify actionable instruments addressing the constraints identified.
Reporting Lines The consultant will work under the overall supervision of the ECTAD country team leader and in close consultation with the ASL2050 focal point. Tasks and responsibilities
Assist the ECTAD team in drafting and disseminating the three major reports mentioned above (Stakeholders’ behaviour and good practices; Constraint analysis; Actionable instruments);
Contribute to analysis of the current institutional structure and public budget allocated for prevention and control of Emerging Zoonotic Diseases (EZDs) and Antimicrobial Resistance (AMR);
Support the implementation of existing One Health policies, plans and strategies;
Support other activities of the ECTAD team and the FAO country office as necessary
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING
Minimum Requirements
University Degree with technical specialization in economics, statistics, development studies, social science, business administration, information or related field
2 to 4 years of relevant experience in the relevant field
Excellent knowledge of statistical software (e.g. Stata, R)
Past experience with survey design / data collection will be considered an asset
Working knowledge of English
National of Kenya.
FAO Core Competencies
Results Focus
Teamwork
Communication
Building Effective Relationships
Knowledge Sharing and Continuous Improvement
ADDITIONAL INFORMATION
FAO does not charge a fee at any stage of the recruitment process (application, interview meeting, processing)
Incomplete applications will not be considered. If you need help please contact: Careers@fao.org
Applications received after the closing date will not be accepted
Only language proficiency certificates from UN accredited external providers and/or FAO language official examinations (LPE, ILE, LRT) will be accepted as proof of the level of knowledge of languages indicated in the online applications
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