APNI is a not-for-profit research and education institute headquartered at Benguérir, Morocco (https://www.apni.net/). Our mission is enhanced plant nutrition for a resilient and food-secure Africa. APNI works to develop and promote sustainable plant nutrition management practices and innovation through research, education, and outreach and has active research projects in East, West and North Africa.
APNI’s evidence initiative (https://youtu.be/giz-YwvHyfc) is to gather and use high quality evidence to improve the effectiveness of systems-level plant nutrition interventions. Our guiding principle is to participate in open science to make scientific research and data accessible to all. APNI is working toward six (6) goals: 1) catalog existing crop nutrition interventions on the African continent; 2) generate systematic maps, reviews, and meta-analyses from published data; 3) archive new and legacy data in repositories using FAIR principles; 4) develop a quality management system for our crop nutrition experiments; 5) create powerful designs for field trials and conduct appropriate analyses; and 6) propose and test new approaches to improving crop nutrition.
Summary
The African Plant Nutrition Institute (APNI) is seeking a highly qualified, enthusiastic data scientist who is a self-starter with a high level of intrinsic motivation. The position will be based in one of the APNI offices (Ivory Coast, Kenya, or Morocco). Citizens of African countries will be given priority consideration.
Responsibilities
The data scientist will support APNI’s evidence initiative (see above) and work closely with a network of APNI’s collaborating institutions, including International Agricultural Research Centers, National Agricultural Research and Extension Systems, the private sector, and development organizations.
The main responsibilities will include:
- Data wrangling (structure, standardization, and cleaning).
- Using and contributing to ontologies in the OBO Foundry (https://ift.tt/3oaz2Ix) to label and describe data.
- Publishing data sets in open repositories such as Gardian (https://ift.tt/3I5cYXq)
- Using open-access tools to create tailored data acquisition forms on smartphones, such as KoBo Toolbox (https://ift.tt/2ynebqS) and KDSmart (https://ift.tt/3G0vI8T).
- Working with APNI and its partners to develop a quality control and quality assurance program
- Develop training materials for APNI staff
The suitable candidate for the position should possess:
- A Master of Science degree in Data Science (or equivalent) from an accredited institution.
- Expertise in R (tidyverse, markdown, R Studio)
- Expertise in Microsoft Excel (pivot tables, data validation, formulas)
- Excellent communication skills in English, both oral and written. The candidate may be a contributing author to peer-reviewed publications.
- Desire to continue to develop professionally in data science as well as in life sciences
- Willingness to collaborate with APNI scientists and their partnering organizations to create solutions that serve the broader communities of interest.
In addition to the above requirements, preference will be given to candidates who also has experience in:
- Open source, open access GIS software (data acquisition, interpolation, raster calculations)
- GitHub (archiving and versioning)
- Written and oral proficiency in English. Knowledge of French is an added advantage
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