Associate Scientist - Data Analyst- ICRISAT
IT, Data Science
Nairobi, Kenya
About Us
CIFOR & ICRAF in action
Landscape Alliance transforms science into action, unlocking the power of trees, forests and agroforestry landscapes to advance planetary health and human well-being. It is the shared operating name of the Center for International Forestry Research (CIFOR) and the International Centre for Research in Agroforestry (ICRAF), two independent International Organizations and CGIAR Research Centers working together through a common strategy, governance and leadership structure.
CIFOR and ICRAF bring together decades of scientific leadership in forests, trees, agroforestry, biodiversity, climate, food systems and livelihoods. CIFOR, headquartered in Bogor, Indonesia, advances research on forests and landscape management to inform policies and practices that improve human well-being, protect the environment and increase equity. ICRAF, headquartered in Nairobi, Kenya, harnesses the benefits of trees for people and the environment, generating knowledge that helps governments, development partners and farmers make farming and livelihoods more sustainable.
Overview
About our organization: ICRISAT is a non-profit, non-political organization that conducts agricultural research for development in Asia and sub-Saharan Africa with a wide array of partners throughout the world. Covering 6.5 million square kilometers of land in 55 countries, the semi- arid or dryland tropics has over 2 billion people and 644 million of these are the poorest of the poor. ICRISAT and its partners help empower these disadvantaged populations to overcome poverty, hunger and a degraded environment through better agricultural production systems. ICRISAT is headquartered at Patancheru near Hyderabad, India, with two regional hubs and eight country offices in sub-Saharan Africa. ICRISAT envisions a prosperous, food-secure and resilient dryland tropics. Its mission is to reduce poverty, hunger, malnutrition and environmental degradation in the dryland tropics. ICRISAT conducts research on its mandate crops of chickpea, pigeonpea, groundnut, sorghum, pearl millet and finger millet in the arid and semi-arid tropics. The Institute focuses its work on the drylands and in protecting the environment. Tropical dryland areas are usually seen as resource-poor and perennially beset by shocks such as drought, thereby trapping dryland communities in poverty and hunger and making them dependent on external aid. We invite you to learn more about ICRISAT and World Agroforestry by accessing our web sites www.icrisat.org and http://worldagroforestry.org ICRISAT is looking for a: Associate Scientist - Data Analyst - ESA Overview This role assists scientists in designing field trials, generating experimental layouts, and conducting data curation, analysis, and interpretation across disciplines using digital tools.
Job Description
- Assist ICRISAT’s scientists in planning agricultural field trials.
- Generate randomizations and trial layouts for field experiments.
- Provide support to the scientists for data curation, simple and complex analysis, and interpretation of the results from varying disciplines.
- Develop R codes and/or refine existing R codes for data curation, visualization and analysis.
- Actively contribute to scientific publications in peer-reviewed journals.
- Contribute to conducting training programmes for both ICRISAT’s scientists and National Agricultural Research Scientists (NARS) in data management and data analysis.
- Perform any other task assigned by the supervisor.
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.
Education, Experience and Technical skills
•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.
Terms and conditions
•This is a Locally Recruited Staff (LRS) position and a contractual role for a period of 36 months (3 years) with a 9-month probation period, renewable based on the performance funding availability and the institute’s continuing need for the position •CIFOR-ICRAF offers competitive remuneration in local currency commensurate with skills and experience. •The duty station will be in Nairobi, Kenya ICRAF Offices. •We will acknowledge all applications but will only contact short-listed candidates.

