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A leading healthcare organization in Singapore seeks a Data Analyst to support pandemic preparedness efforts. This role involves data extraction, analysis, and collaboration with stakeholders for insights that inform policy. Candidates should have a relevant bachelor’s degree and a strong interest in health-related research. Familiarity with programming languages like STATA, R, or Python is needed. This position offers a unique opportunity to contribute to critical health research and insights presentation.
The Programme for Research in Epidemic Preparedness and Response (PREPARE) is a national programme set up by the Ministry of Health (MOH) to support and strengthen Singapore’s key research capabilities, translational platforms, and expertise which can be harnessed to detect, respond to, and contain future infectious disease threats. The National Centre for Infectious Diseases (NCID) serves as the administrative host of PREPARE. There are five co-operative programmes established under PREPARE. These co-operatives are supported by a national biorepository for clinical samples, tissues and associated data, and infectious diseases (ID) clinical and research databases.
The Analytics, Disease & Behaviour Modelling Co-operative Programme aims to:
The Data Analyst is a key team member of the Analytics, Disease & Behaviour Modelling Co-operative. The Co-op is building a core data and research analytic team that will generate and provide empirical data, insights, and academic publications in the area of COVID-19 and future infectious disease modelling.
He/She will assist to process, manage, and analyse data to derive insights that will inform policy and decision making for pandemic and pandemic preparedness. The Data Analyst will have opportunities to work with clinicians and academics as well as present his/her data at various relevant forums.
MAIN DUTIES AND RESPONSIBILITIES
SPECIFIC
GENERAL
To perform other duties as directed by supervisor(s) including work areas not mentioned here but are within the scope of the Analytics, Disease & Behaviour Modelling Co-operative Programme.
Bachelor’s degree in social science, economics, life sciences, computer science, engineering with some prior coursework in programming (Masters or PhD degree in these fields as well as in Public Health will have added advantage).