Research Fellow (Epidemiology of Ageing)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Epidemiology-of-Ageing%29/34062-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

Qualifications

• PhD in Epidemiology, Public Health, Biostatistics, or a related field
• Minimum 3 years of experience in ageing epidemiology, longitudinal cohort research, or population health
• Advanced statistical skills including survival analysis, mixed models, and causal inference methods
• Proficiency in data analysis tools including R, SPSS, Python, Stata, or equivalent; experience with large-scale human datasets and data linkage is expected
• Scientific writing is a core requirement: the candidate must have demonstrated experience leading the writing and submission of peer-reviewed manuscripts
• Publication record in peer-reviewed epidemiology or ageing journals
• Interest in translating population-level findings into clinical trial design and precision medicine