Post-Doctoral Scientist- Evidence Synthesis
2026-01-23T09:23:31+00:00
International Livestock Research Institute
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https://www.ilri.org/
FULL_TIME
Nairobi
Nairobi
00100
Kenya
Professional Services
Science & Engineering, Research, Agribusiness, Agricultural Services & Products
2026-02-22T17:00:00+00:00
8
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.
- 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.
- 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.
- 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.
- 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.
- Evidence synthesis methodologies
- Systematic literature searches
- Data extraction and analysis
- Risk of bias assessment
- Statistical analysis software (R, STATA, SPSS, Python)
- Systematic review and meta-analysis packages
- Scripting
- Project management
- Grant proposal writing
- Communication and dissemination
- Mentoring and training
- 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.
JOB-69733e133fc9e
Vacancy title:
Post-Doctoral Scientist- Evidence Synthesis
[Type: FULL_TIME, Industry: Professional Services, Category: Science & Engineering, Research, Agribusiness, Agricultural Services & Products]
Jobs at:
International Livestock Research Institute
Deadline of this Job:
Sunday, February 22 2026
Duty Station:
Nairobi | Nairobi
Summary
Date Posted: Friday, January 23 2026, Base Salary: Not Disclosed
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JOB DETAILS:
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.
Work Hours: 8
Experience in Months: 12
Level of Education: postgraduate degree
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