Research Specialist at Bioversity International

Key Responsibilities

•  Support the provision of statistical guidance and backstopping to an interdisciplinary team of scientists working on food systems through the full research cycle from design, sample size calculations, sampling, analysis to publication and dissemination.
•  Contribute to the development and use of standard operating procedures for data capture and processing for experiments that are widely applied.
•  Contribute to developing/validating indicators and indices on food environment associated with food and nutrition security risks factors.
•  Support in-house capacity building in food systems statistical analysis and the use of statistical packages
•  Provide statistical knowledge about new methods, tools and approaches as demanded by food environment and consumer behavior research staff.
•  Participate in relevant activities such as project planning and data analysis meetings.
•  Provide assistance in presentation of results including visualization of data.
•  Contribute to research data management and scientific articles publication.
•  Contribute to the creation of a research quality system that sets up processes, protocols, and policies to maintain and improve the quality of research.
•  Support in any other related activities as advised by supervisor.

Requirements

Qualification and Experience

•  PhD or MSc in Social Sciences, i.e. social economics, agricultural economics, or similar field with background in statistical analysis and computing in agriculture and nutrition.
•  General experience supporting the use of statistical tools and methodologies in research.
•  Experience in statistical analysis using “R”, “SPSS”, “SAS”, “Stata”, “GenStat”
•  Knowledge of Database Management systems will be an added advantage
•  Contribute to creating tools and data collection using mobile and CAPI tools and retrieving data from other databases and systems using API’s and other interoperability protocols
•  Contribute to cleaning and synthesizing data to guarantee accuracy and fitness of purpose for use in creating food, agriculture, land, and water systems metrics
•  Support in developing, maintaining, and administering well-documented databases that manage interconnected and multidisciplinary research data using different database technologies, and platforms
•  Contribute to developing analytics and modeling frameworks using statistical software
•  development languages, ideally “Python” or “R”, and complementarily Stata
•  Contribute to the development data visualization applications for displaying and tracking metrics
•  English Advanced level (oral and written)