Research Officer II – Economist at International Livestock Research Institute (ILRI)

Key Responsibilities

• Lead the collection of household and agricultural/livestock data (e.g., program survey tools, recruit and assist in the training of data collection staff, organize survey logistics, monitor quality of incoming data in real-time, manage financial and physical resources for implementation of multiple activities).
• Prepare data for analysis
• Conduct advanced analysis of data in Stata and/or R using econometric methods
• Develop new ideas, techniques, methodologies, approaches, practices and procedures in digital innovation and data analysis.
• Conduct literature reviews and syntheses
• Assist in preparing large datasets for public access
• Leads the writing of project reports and outputs of small-scale projects (e.g., datasets). Interact with collaborators and project partners
• Contribute to proposal development.
• Assist with supervision of staff, students, temporary staff, and consultants.
• Other duties as assigned

Requirements

• Master’s degree in Agricultural and Applied Economics or Development Economics or Applied Statistics.
• A minimum of 5 years’ work experience in academia, a development-oriented research organization or comparable institution in the area of impact evaluation
• Knowledge of microeconomic theory and quantitative econometric methods
• Excellent knowledge of STATA
• Demonstrated experience in coordinating data field surveys
• Demonstrated ability to perform in-depth statistical analysis and report the results.
• Willingness and openness to learn
• Demonstrated fluency in written and spoken English
• Strong interpersonal skills and demonstrated 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
• Ability to work independently and with initiative
• A good understanding of impacts of climate change and variability on agricultural and livestock systems