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Research Assistant/Associate in Health Data Science

ntu · Singapore

Nouveau
Junior 🇬🇧 English
Python

Description du poste

About the role

The Lee Kong Chian School of Medicine at NTU is seeking a Research Assistant or Associate to support multidisciplinary projects focused on climate‑ and behaviour‑sensitive infectious diseases such as dengue, syphilis and SARS‑CoV‑2. You will work in a collaborative laboratory environment, applying statistical and mathematical modelling to advance health data science research.

Key responsibilities

  • Develop statistical and mathematical models to assess transmissibility of infectious diseases.
  • Conduct literature reviews to inform model design and research direction.
  • Lead data analysis using statistical and data‑science techniques.
  • Prepare reports, presentations, and manuscripts for peer‑reviewed journals.
  • Generate research questions and hypotheses based on data insights.
  • Collaborate with national and international research teams.

Required profile

  • Bachelor’s degree (Research Assistant) or Master’s degree (Research Associate) in a relevant field.
  • 0–2 years of experience in epidemiology, mathematical modelling, or health data science.
  • Strong interest in infectious disease research and ability to communicate findings effectively.
  • Excellent written and oral communication skills.
  • Detail‑oriented with strong organizational and time‑management abilities.
  • Ability to work independently and as part of a diverse research team.

Required skills

  • Proficiency in statistical software R.
  • Proficiency in programming language Python.

Questions fréquentes

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ntu

Singapore