Slum and Rural Health Initiative is a nonprofit organization that started operations in 2017 and is officially registered in Nigeria, Ethiopia, and the Gambia It improves access to healthcare information and services in Africa, especially in vulnerable and underserved communities using the tools of advocacy, research, and technology. We are a ‘multidisciplinary team of healthcare professionals, social scientists information technology experts, researchers, graphic designers, and social entrepreneurs who are passionate about changing the sad narrative of healthcare information and service delivery in Nigeria, Ethiopia, and other parts of Africa.Role Overview
Design and develop natural language processing solutions to support SRHIN’s data analysis, research, and digital health initiatives.
Key Responsibilities
Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, and related tasks
Pre-process and analyse large volumes of unstructured text data (e.g., survey responses, health records, community feedback)
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
Required Qualifications & Experience
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