About this role
The role is for designing and developing natural language processing solutions to support the organisation's data analysis, research, and digital health initiatives. It targets someone with advanced NLP or machine learning experience, able to work with large unstructured text data and collaborate with researchers in health and social science contexts. The employer, Slum and Rural Health Initiative, is a nonprofit operating since 2017, active in Nigeria, Ethiopia, and the Gambia, focusing on improving access to healthcare information and services through advocacy, research and technology. The position is based in Oyo and requires practical NLP skills and a track record in similar settings.
What you would do
- Develop and fine-tune NLP models for text classification, sentiment analysis, and information extraction
- Pre-process and analyse large volumes of unstructured text data
- Collaborate with the research team to apply NLP techniques to health and social research questions
- Evaluate and improve model performance and accuracy
- Document methodologies and maintain reproducible workflows
What they are asking for
- Bachelor's, Master's, or PhD in Computer Science, Computational Linguistics, Data Science or a related field
- Minimum of 2 years' experience in NLP or related machine learning work
- Proficiency in Python and NLP libraries/frameworks (e.g., spaCy, NLTK, Hugging Face Transformers)
- Strong understanding of language modelling and text data pipelines
- Experience applying NLP in health or social science contexts is an advantage
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