World Agroforestry Centre (ICRAF)
Crop Science and Remote Sensing Specialist-CIMMYT
Closed for applications
World Agroforestry Centre (ICRAF)
Consultant - Environmental Economics/Value Chains
Closed for applications
Get personalised job alerts directly to your inbox!
Profession (Data/Research)
Accounting, finance, banking, insurance,Administrative, clerical,Agriculture, fishing, forestry, wildlife,Business, strategic management,Customer support, client care,Design, arts,Energy, power,Food, nutrition,Government, community development, public services,Human resources,Information technology, software development, data,Legal,Mechanical engineering,Project, program management,Research, academy,
Industry
Aeronautics,Agriculture, fishing, forestry,Automotive,Banking, microfinance, insurance,Communications, media, radio, tv,Computers, software development and services,Construction, renovation, maintenance,Consulting, business support, auditing,Data/Research,Education, academic,Energy, utilities, environment,Engineering, architecture,Finance & FinTech,Financial Services,Fitness, well-being and lifestyle,Governmental,Health care, medical,Housekeeping, maintenance,Human resources, talent development, recruiting,Legal, accounting,Manufacturing,Marketing, advertising,Non-profit, social work,Outsourcing, leasing,Real estate,Restaurant, hospitality, travel,Retail, wholesale, FMCG,Security,Telecommunications,Textile, fashion,Transportation, logistics, storage,
Seniority (Data/Research)
© Fuzu Ltd
World Agroforestry Centre (ICRAF)
Data/Research
Description
Requirements
- A Ph.D. in Statistics or a closely related field with at least 3 years of relevant experience in agricultural research, which is highly desirable.
- Proven experience working as a Biostatistician in a research environment or applied setting.
- Strong analytical and problem-solving skills, with demonstrated expertise in applied statistical analysis.
- Solid knowledge and practical experience in experimental design.
- Experience in data generation, management, and curation.
- Proven capability in predictive modelling and advanced statistical techniques.
- Proficiency in statistical and data analysis software, including R, Python, and SAS.
- Sound interpersonal and problem-solving skills
- Demonstrated ability to work independently as well as in a team setting.
- Preferably having experience of working in multi-cultural and interdisciplinary teams.
- Experience in an international organization environment will be an added advantage
- Ability to prioritize and organize work efficiently and independently.
Start hiring with Fuzu
Recruit better talent faster - on your own or with our support.
Explore recruitment platformJob search tips from Fuzu
Selected articles on cover letters, CV structure, and interview preparation.