Data Science Track Intern at Center for Epidemiological Modelling and Analysis (CEMA)

As an intern at CEMA, you will play a pivotal role in supporting our ongoing research and data-driven initiatives. You will work closely with our team of researchers in generating data, analysing data and utilising data insights to better understand disease dynamics, and identify and evaluate intervention strategies. 

Responsibilities of Data Science Intern:

• Use of data analytics and programming skills such as R to analyse data
• Support acquiring, validating, cleaning, and wrangling health and health-related datasets
• Apply statistical methods and machine learning algorithms to extract insights and patterns from data
• Develop and maintain data visualizations, dashboards, and reports to communicate findings effectively
• Collaborate with multidisciplinary teams to support research projects and provide data-driven recommendations
• Stay up to date with the latest advancements in data science, epidemiology, and public health. 
• Take on other tasks as assigned.
• NB: Applicants with a degree in Geographic Information Systems will also be required to analyze and visualize spatial data related to health including integrating GIS with epidemiological and economic data to inform health decision-making

Requirements:

• Bachelor's degree in Statistics, Biostatistics, Epidemiology, Mathematics, Data Science, Actuarial Science, Population Health, Computer Science, Information Technology, Economics, Geographic Information System, Veterinary medicine, Medicine, Pharmacy, Nursing, Public Health, Health System Management or other relevant disciplines (acquired after 2021) 
• Demonstrated knowledge of data analytics using a programming language
• Evidence of motivation for the field of data science, epidemiology, health technology assessments and/or public health