Quantitative Researcher for Climate and Health Studies

2 days ago


Singapore NTU (Nanyang Technology University- Main Office-HR) Full time

At Nanyang Technological University, we are seeking a highly skilled Quantitative Researcher to join our team at the Lee Kong Chian School of Medicine (LKCMed). This role is ideal for an individual with a strong background in epidemiology, public health, or a quantitative discipline.

Job Description

The successful applicant will work as part of a growing and energetic team investigating health at the interface of climate change, clinical epidemiology, and infectious diseases in local and international contexts. The primary responsibility will be to develop statistical learning and machine learning based models to understand climate change impact on burdens and management of infectious diseases and chronic diseases.

Key Responsibilities:
  • Develop models to understand how climate change will impact burdens and management of infectious diseases and chronic diseases
  • Undertake literature reviews
  • Lead the analysis of global climate model data and large-scale population level data using statistical learning and machine learning techniques
  • Lead the writing of reports, presentations, and publications of analysis findings in peer-reviewed journals
  • Generate research questions
  • Collaborate with researchers in other national and international institutions
Requirements:
  • Masters or equivalent in a quantitative discipline (e.g. statistics, biostatistics, computer science, data science, biomedical engineering, or similar)
  • Background and research experience in epidemiology, public health, or life sciences
  • A strong interest in infectious diseases and health data science
  • Ability to communicate findings effectively
  • Ability to work among a diverse and large team of researchers
  • Well-organized and has an eye for details
  • Possess good written and verbal communication skills
  • Possess the ability to work effectively in teams
  • Have strong proficiency in Statistical software (R)


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