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Geospatial Data Clerks NGO Job ICIPE
NGO Jobs. International Centre of Insect Physiology and Ecology Jobs
icipe seeks to recruit 4 Research Officer I (Geospatial Data Clerks) under the Integrated Data & Analytics Platform. The positions are tenable in Nairobi at the icipe Duduville campus. This is a twoyear contract, renewable subject to continued position needs, funding for the position, and the staff member’s performance. This is a nationally recruited position. A competitive compensation package will be offered to the right candidates. Only shortlisted candidates will be contacted.
Overall Purpose of the Job
The Geospatial Data Clerks will provide data and modelling support of the Vector Atlas project being implemented by the Integrated Data & Analytics Platform.
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Specific duties
- Collect and collate data (occurrence, bionomic, and insecticide resistance) from various
sources (e.g. literature, VectorBase, MalariaGEN, Malaria Atlas Project). - Cleaning, quality control checks and exploratory data analysing of insecticide resistance (IR)
dataset. - Learn and apply predictive mathematical models, combining ecology`ical niche models and
machine learning approaches. - Combine models through ensemble modelling.
- Investigate additional technologies and tools for developing innovative data strategies.
- Support the interns and research associates as needed for their projects.
- Document the methodology and results for all the modelling experiments.
- Monitor data pipelines and continuously update and enrich the Vector Atlas data platform.
- Engage with vector control researchers through knowledge sharing to ensure effective use of
Vector Atlas data. - Liaise with case partners and publication authors to obtain supplementary malaria data not
publicly available. - Perform any other task assigned by the supervisor.
Requirements/ qualifications
- BSc in Biochemistry, Statistics, Bioinformatics or any other related field.
- At least 2 years of experience in a relevant field.
- Proficiency in the use of R and Python for data analysis and modelling with Ordinary
Differential Equations/Partial Differential Equations (ODE/PDE). - Knowledge of the use of the R statistical software package.
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How to Apply
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