Job Summary
AKADEMIYA2063 is seeking an Associate Research Scientist I or II for a two-year renewable appointment in its Operational Analysis Department. The successful candidate will contribute to the department’s efforts in policy and program review, performance tracking, and impact evaluation of agricultural and climate change strategies and programs in Africa. This role presents an exciting opportunity to join a dynamic and motivated team dedicated to producing high-quality, evidence-based reports for policymakers at the highest levels of government. We encourage candidates with strong research writing skills to apply from anywhere, with a preference for those residing in Africa.


Job Details
• Vacancy Number: SN24007/RW24007
• Position Title: Associate Scientist I or II
• Department: Operational Analysis
• Location: Dakar-Senegal or Kigali, Rwanda (Telecommuting to be considered for a highly qualified candidate)
• Duration: 2-year renewable

Job Description
• Support the preparation of proposals, project deliverables, briefs, and research papers
• Conduct literature reviews & synthesis
• Perform various tasks involving data collection, documentation, and data cleaning of primary data and secondary data from various sources.
• Assist with qualitative and quantitative data analysis and preparation of tables and graphs for reports
• Support program or project management
• Help develop & manage technical workshops.
• Co-authorship of reports and editing of publications
• Assist in the preparation of discussion papers, and donor reports.
• Interact with collaborator project partners.
• Develop data documentation manuals or other learning materials, as needed.
• Reply to internal/external data requests.
• Interact with funding agencies for possible research projects.
• Develop research proposals under the guidance of the supervisor.
• Present and discuss research projects to government officials, non-governmental organizations, research agencies, and other interested parties.
• Other duties as assigned or required.


Requirements
• Master’s degree in development studies, agricultural economics, public policy, or a closely related field
• At level I up to 3 years of relevant experience, at Level II 5 years of relevant experience
• Experienced in conducting literature reviews of academic publications, research reports, etc.
• Excellent technical writing skills and analytical mind
• Excellent qualitative analysis skills with a reasonable understanding of econometric models of cross-section and panel data methods
• Demonstrated experience in effective interaction and coordination with collaborators and project partners.
• Demonstrated fluency in written and spoken English, fluency in French is desired.
• Excellent interpersonal skills and ability to work in a team-oriented multi-cultural environment.
• Demonstrated ability to multi-task as needed, consistently meet deadlines, and manage time well.
• Demonstrated professional level of attention to detail and accuracy of work.
• Experience in research proposal development and project management
• Good understanding and experience of statistical software programs such as Spreadsheet, SSP, STATA, and in managing household databases.
• Ability to perform quantitative data analysis.
• Excellent interpersonal skills and ability to work in a team-oriented multi-cultural environment.


Additional Considerations
• Applications received after the closing date will not be considered.
• This Job Description only serves as a guide for the available position. AKADEMIYA2063 reserves the right to change, revise, omit, and add in part / in whole to this document.
• Qualified female candidates are strongly encouraged to apply.
• AKADEMIYA2063 is an equal-opportunity employer and offers an attractive and challenging working environment with opportunities for skill enhancement.
• By sending an application, candidates give consent for their personal data to be processed solely for applicable recruitment procedures.


We thank all applicants for their interest in working for AKADEMIYA2063, due to the volume of applications, only shortlisted candidates will be contacted.