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 the food environment associated with food and nutrition security risk 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 the presentation of results including visualization of data.
Contribute to research data management and scientific article 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 the supervisor.
Qualification and Experience
Ph.D. or MSc in Social Sciences, i.e. social economics, agricultural economics, or a similar field with a 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 of data visualization applications for displaying and tracking metrics
English Advanced level (oral and written)
Desirable qualifications and competencies
Strong teamwork, interpersonal, and communications skills; courtesy and the ability to establish and maintain effective working relationships with people of different cultural and national backgrounds
Ability to work independently within assigned areas complemented by sound judgment and initiative and the ability to maintain structured and ad hoc communications with supervisors and colleagues to seek guidance
Strong ability to coordinate, prioritize and organize workload; take initiative and work under pressure.
Excellent communication and ability to communicate to a variety of audiences.
Willingness and enthusiasm to learn and practice new technologies as needed
Apply via :
al.zohorecruit.eu
