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  • Posted: Jan 23, 2026
    Deadline: Feb 22, 2026
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  • The International Livestock Research Institute (ILRI) works to improve food security and reduce poverty in developing countries through research for better and more sustainable use of livestock. ILRI is a CGIAR research centre - part of a global research partnership for a food-secure future.
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    Research Associate - Entomology

    Key Responsibilities:

    • Develop protocols for trapping mosquitoes with the project team, putting into consideration factors that affect mosquito density such as land use/land cover, climatic factors and availability of hosts
    • Maintain an inventory of traps, other sampling equipment, chemicals (such as attractants) and reagents that are required for mosquito sampling. The inventory will be needed to replenishments with time
    • Deploy traps in selected sites within the project areas as per the field sampling protocols developed
    • Harvest mosquito and other vectors trapped, characterize them by species based on morphological and molecular characteristics
    • Process mosquitoes collected for laboratory analyses to determine their sources of blood meal and arbovirus infection levels
    • Enter the various data collected in an on-line database that will be developed for storing data from the project
    • Participate in the development of technical reports and manuscripts that will utilize the data generated from the vector surveys implemented
    • Perform any other related duties as may be requiredPerform any other related duties as may be assigned

    Requirements

    • Bachelor’s degree in science, Zoology, BSc Technology and Innovation or a related field
    • Demonstrated experience of at least two years in field research, specifically on trapping mosquitoes, identifying them by species using morphological keys, analysing data collected and writing back to office reports
    • Excellent communication and writing skills in English
    • Good knowledge and experience on standard software for managing and analysing data including Microsoft Excel, STATA, R or Python among others
    • Ability to manage their own workload, develop workplans and seek support when needed
    • Excellent written and spoken English

    go to method of application »

    Post-Doctoral Scientist- Evidence Synthesis

    About the position

    The role aims to generate robust, actionable evidence, translate it into compelling outputs for policy, investment and practice, and strengthen ILRI’s capacity in evidence-synthesis methodologies and data-driven decision-making. The position will focus particularly on climate change impacts on livestock and overall agrifood systems. This position will be a part of ILRI’s Livestock, Climate and Environment (LCE) Program.

    Key Responsibilities

    Research & Evidence Synthesis

    • Design, conduct and oversee evidence syntheses (evidence gap maps, scoping reviews systematic reviews, meta-analyses,) on topics relevant to livestock systems, food systems, climate change, environmental or health impacts.
    • Formulate research questions, develop protocols (e.g., adhering to PRISMA / ROSES/ other industry standards), carry out systematic literature searches, screen and extract data, assess risk of bias and methodological quality, synthesise results and interpret findings for stakeholders.
    • Adapt or develop advanced synthesis methods (e.g., network meta-analysis, mixed methods synthesis, AI-assisted screening, living review frameworks) as relevant to complex interventions in agriculture, livestock/food systems.
    • Contribute to or lead the development of new synthesis tools, workflows or software packages to increase efficiency and rigour of evidence synthesis.

    Publication and Dissemination

    • Lead the writing of high-impact journal manuscripts (first or co-first author) from synthesis projects and present findings at international conferences, workshops and stakeholder fora.
    • Develop and disseminate research outputs beyond journals: policy briefs, research briefs, stakeholder summaries, infographics, data-visualisations, webinars.
    • Work with ILRI’s communications, outreach and knowledge-management teams to ensure effective translation of evidence for non-academic audiences.

    Collaboration, Project Management & Capacity-Building

    • Collaborate with multidisciplinary teams across ILRI’s programmes, and with external academic, policy and development partners.
    • Manage synthesis projects: timelines, budgets, deliverables, data management, quality assurance and reporting.
    • Mentor and train ILRI and CGIAR scientists, junior researchers and staff in evidence-synthesis methodologies, screening tools (e.g., Covidence, Rayyan, EPPI-Reviewer, SysRev, PROSPERO), meta-analysis software (e.g., RevMan, R, STATA), and best practices in systematic reviewing.
    • Substantially contribute to identifying funding opportunities, preparing grant proposals and building partnerships to sustain future evidence-synthesis work.

    Professional Development & Strategic Engagement

    • Engage in relevant professional development: workshops, networks, methods training to deepen skills in evidence-synthesis innovation and research translation.
    • Stay abreast of emerging methodologies, technologies (e.g., machine-learning assisted screening, natural-language-processing in reviews) and global trends in evidence synthesis, food systems research and livestock development.
    • Contribute to institutional strategy on evidence-synthesis, data-driven communication and impact-oriented research uptake.

    Requirements

    • PhD in economics, epidemiology, public health, social sciences, agriculture, veterinary science, food systems with deep expertise in evidence-synthesis methodology or a related field.
    • Demonstrated prior experience leading or substantially contributing to systematic reviews, meta-analyses (or scoping reviews, evidence gap maps), especially in the development domain (agri-food systems, livestock, public health, gender, environment).
    • Strong publication record (ideally at least two first-author peer-reviewed publications on systematic reviews or meta-analysis) and familiarity with academic publishing processes.
    • Proficiency in statistical analysis software and languages (e.g., R, STATA, SPSS, Python) including systematic review and meta-analysis packages and scripting.

    Method of Application

    Use the link(s) below to apply on company website.

     

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