IT & Data Science Intern.
PATH is a global nonprofit dedicated to achieving health equity. With more than 40 years of experience forging multisector partnerships and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing heath challenges.
PATH’s Epidemic Preparedness and Response (EPR) initiative leads several projects and initiatives that support Global Health Security and aim to strengthen global capacity to prevent, detect, and respond to infectious disease threats. These include the five-year, Centers for Disease Control and Prevention (CDC)-funded Global Health Security projects; the State Department STRIDES (Strengthening Infectious disease Detection Systems) Project. The Epidemic Preparedness and Response program is seeking an intern to be based in Dakar, Senegal.
The STRIDES project aims to strengthen infectious disease detection, surveillance, and response systems, in support of national priorities and using a multisectoral One Health approach. It covers several key technical areas, including epidemiological surveillance, health information systems, laboratory systems, health emergency management, infection prevention and control, as well as biosafety and biosecurity.
Proposed activities for the internship
Support the implementation and maintenance of DHIS2-based surveillance systems.
Collect, clean, validate, and manage surveillance and program datasets.
Develop scripts and automated workflows for data processing using Python or R.
Explore machine learning approaches for surveillance and public health data analysis
Develop predictive models for trend analysis, outbreak detection, or risk identification.
Benefit to Intern
Collaboration with professionals in digital health and data science
Practical application of machine learning and deep learning techniques using real-world datasets from the health sector.
Development of technical skills in Python, R, data visualization, dashboard creation, and data engineering workflows.
Description of skills and experience the intern should have
Currently pursuing or recently completed a Masters degree in IT, Data Science or its equivalent.
Strong teamwork and communication skills
Basic understanding of deep learning frameworks
Knowledge of machine learning techniques
Proficiency in Python or R
Experience in data analysis or digital systems
Exposure to machine learning or AI projects