The International Potato Center, known by its Spanish acronym CIP, was founded in 1971 as a root and tuber research-for-development institution delivering sustainable solutions to the pressing world problems of hunger, poverty, and the degradation of natural resources. CIP is truly a global center, with headquarters in Lima, Peru and offices in 30 developing countries across Asia, Africa, and Latin America. Working closely with our partners, CIP seeks to achieve food security, increased well-being, and gender equity for poor people in the developing world. CIP furthers its mission through rigorous research, innovation in science and technology, and capacity strengthening regarding root and tuber farming and food systems.
CIP is part of the CGIAR Consortium, a global partnership that unites organizations engaged in research for a food secure future. CGIAR research is dedicated to reducing rural poverty, increasing food security, improving human health and nutrition, and ensuring more sustainable management of natural resources. Donors include individual countries, major foundations, and international entities.
Data Analysis – Consultant
- Job TypeFull Time
- QualificationBA/BSc/HND MBA/MSc/MA
- Experience6 years
- Location Nairobi
- Job Field Research / Data Analysis
Job Details
Ref.: 2019/018/NRS/KE/SSA
The International Potato Center (CIP) is seeking to recruit a dynamic and experienced Data Analysis consultant.
The Position: As part of the Partnerships for seed technology transfer in Africa, PASTTA, data to identify segments of seed markets in Mali, Malawi, Kenya, Uganda, Senegal was collected. The purpose of the data collection was to develop product profiles that detail the trait/characteristics which are on demand in target seed markets. The purpose of this consultancy is to reanalyze this data from a gender perspective in order to write a report as well as extract key indicators that can be used in the PASTTA annual report.
Key responsibilities:
- Construct variables in accordance with international and local definitions
- Construct baseline difference in means tests
- Produce summary statistics of key outcome and covariate variables from a gender perspective;
- Draft a technical report on gender concerns in seed markets in collaboration with the CIP Gender Specialist.
Selection Criteria
- At least a master’s degree in Agricultural Economics, Economics, Statistics or related field;
- At least 6 years of experience required in data analysis;
- Experience with statistical analysis software (STATA)
- Advanced knowledge of database work;
- Advanced level of MS Office;
- Advanced statistical research analysis;
- Advanced written and oral communication skills in English.
Why should you consider this opportunity?
- CIP is a global and reputable international organization that has a strong, state-of-the- art R&D background, and is a recent World Food Price Winner and awarded with the Al-Sumait Award for our Orange Flesh Sweet Potato work in Africa.
- CIP is dedicated to achieving food security, improved nutrition and well-being, and gender equality for poor people in root and tuber farming and food systems of the developing world.
Data Cleaning – Consultant
- Job TypeFull Time
- QualificationBA/BSc/HND
- Experience6 years
- Location Nairobi
- Job Field Research / Data Analysis
Ref.: 2019/017/NRS/KE/SSA
The International Potato Center (CIP) is seeking to recruit a dynamic and experienced Data Cleaning consultant.
The Position: The Data Cleaning – Consultant will provide support to the gender team to clean
quantitative data that was collected under the ENDURE project. There are two data sets: the first is a combined data set for potato and banana and the second is a combined data set for Cassava and sweetpotato. This data needs to be cleaned so that it can be analyzed in preparation for sharing as open access data.
Key Responsibilities
- Review data files and basic data cleaning to ensure all observations are uniquely identified and reported data is internally consistent (2 data files- Banana/Potato & Sweetpotato Cassava);
- Identify the what values are different between the two data files to ensure merging of the two data sets;
- Conduct merging across data files to ensure clean merges.
Selection Criteria
- At least a master’s degree in Agricultural Economics, Economics, Statistics or related field;
- At least 6 years of experience required in data cleaning and analysis;
- Advanced knowledge of database work;
- Advanced level of MS Office;
- Advanced statistical research analysis;
- Advanced written and oral communication skills in English.
Why should you consider this opportunity?
CIP is a global and reputable international organization that has a strong, state-of-the- art R&D background, and is a recent World Food Price Winner and awarded with the Al-Sumait Award for our Orange Flesh Sweet Potato work in Africa.
CIP is dedicated to achieving food security, improved nutrition and well-being, and gender equality for poor people in root and tuber farming and food systems of the developing world.
CIP is a member of the CGIAR Consortium, a network of 15 research centers that are mostly located in the developing world and supported by more than 50 donor members.
What are the conditions?
The position is Nationally Recruited Staff (NRS) position limited to Kenya nationals and permanent residents only. The employment contract will be for a Fifteen days term.
Social Scientist, Qualitative Methods
- Job TypeFull Time
- QualificationPhD/Fellowship
- Experience5 years
- Location Nairobi
- Job Field Research / Data Analysis
About the position:
The Social Associate Scientist will ensure that CIP’s ongoing and evolving research and development programs will apply methodologies and insight from qualitative social science, including gender research, so that they can contribute effectively to global development challenges. Secondly, the Social Scientist will ensure that this research is carried out at excellent standards, results in impactful publications, and can influence future research and policy design. The position will be part of CIP’s global Social and Nutrition Sciences Division and will work closely with scientists across disciplines and countries and with the CGIAR gender platform. The position at least initially has a focus on research programs in Africa and South Asia but is relevant for all of CIP’s programs. The position will report to one of CIP’s global program leaders and will be based in Nairobi, Kenya.
Requirements
- PhD in a relevant social science discipline with a strong focus on qualitative methodologies.
- Excellent and up-to-date understanding of qualitative research methods pertinent to the study of behavior change, gender, social inclusiveness, youth, risks and benefits from technology change, and institutional transformation.
- At least 5 years’ experience of leading qualitative social research in an international program environment, preferably within the agriculture, food or rural development sector.
- Strong understanding of the social, cultural and economic context of poverty, food insecurity, malnutrition, and social marginalization in Africa and South Asia.
- Excellent skills in research design, coordination of research teams, timely analysis, writing and presentation.
- Excellent track record of original research and peer-reviewed publications based on qualitative social science methodologies.
- Excellent leadership skills to promote effective collaboration within research teams and across research partnerships.
- Excellent written and oral communication skills in English. Proficiency in French or Spanish is an advantage.
- Willingness and ability to travel internationally and work in resource-poor, rural areas.
Benefits
- Exciting career opportunity in an international organization.
- Internationally competitive salary, paid in US dollars, and commensurate with experience.
- Comprehensive international insurance coverage.
- Attractive retirement plan.
- Three-year term contract with the possibility of renewal.
- Work in an equal and diverse workplace.
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