The Role
Support planning and analysis of agricultural field trials: generate randomizations and layouts, curate and analyze data, develop/refine R code, contribute to publications, and train scientists in data management and analysis.
Summary Generated by Built In
- 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.
Skills Required
- Ph.D. in Statistics or a closely related field
- At least 3 years of relevant experience in agricultural research
- Proven experience working as a Biostatistician in a research or applied setting
- Strong analytical and problem-solving skills with 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 (R, Python, SAS)
- Sound interpersonal skills and ability to work independently and in a team
- Experience working in multi-cultural and interdisciplinary teams
- Experience in an international organization environment
- Ability to prioritize and organize work efficiently and independently
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The Company
What We Do
CIFOR-ICRAF is a collaborative research organization and a global leader in using trees, forests, and agroforestry to tackle global challenges such as climate change, biodiversity loss, food insecurity, and inequality, by enhancing landscape resilience.
