Research Fellow (Epidemiology of Ageing)

National University of Singapore, Singapore

Updated: 8 days ago

About the Team

The NUS Academy for Healthy Longevity operates as a highly collaborative, multidisciplinary research team led by Prof Andrea B. Maier. Each research project is structured with a Research Fellow as the scientific lead, supported by a Head of Research Operations who works closely with you on day-to-day research activities, and a Research Assistant to support execution. As a Research Fellow, you will lead your primary research project while also contributing your domain expertise to other ongoing studies where relevant. The broader team includes a Head of Partnerships, a procurement specialist, and a communications lead who support the team across institutional relationships, operational logistics, and scientific visibility.

About the Role

The NUS Academy for Healthy Longevity seeks a Research Fellow (post-doc) with a strong epidemiological background. The successful candidate will lead population-level ageing research within our team, leveraging large longitudinal datasets to identify determinants of healthy longevity and generate evidence to inform the design of interventional clinical trials.

Key Responsibilities

  • Lead epidemiological analyses using large longitudinal cohort datasets to identify biological, clinical, lifestyle, and social determinants of healthy ageing
  • Design and conduct observational studies and secondary data analyses in collaboration with the clinical trial team
  • Develop and apply statistical models for ageing outcomes including biological age clocks, frailty indices, and multisystem ageing trajectories
  • Contribute to the translation of epidemiological findings into clinical trial hypotheses and protocol design
  • Build and maintain collaborative relationships with national and international epidemiological networks and cohort studies
  • Lead and contribute to high-impact publications and grant applications in ageing epidemiology
  • Supervise research staff and students involved in data analysis and epidemiological research

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