Associate/Assistant Professor in Population Science

The Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore (LKCMedicine, NTU Singapore) is seeking to appoint a full-time Associate / Assistant Professor. The appointee will be expected to undertake high quality population science research, leveraging our unique, and internationally outstanding SG100K population study. SG100K is a landmark multi-ethnic Asian longitudinal populations study comprising 100,000 Singaporeans from diverse backgrounds. With comprehensive behavioural, phenotypic, multi-omics data, and electronic health record linkage, the study represents a state-of-the art platform for epidemiological and Precision Medicine research. SG100K works in close partnership with the National Precision Medicine Programme, offering multiple opportunities for innovative and transformational research. It also collaborates with the MRC Epidemiology Unit at the University of Cambridge (HD4 programme), which focuses on developing evidence and interventions for the upstream determinants of health, to advance environmental epidemiological research. Through SG100K, we aim to improve understanding of the etiology and pathogenesis of diverse disease outcomes in Asia, and to generate insights that have the potential to improve health outcomes for Asian populations globally. The appointee is expected to build a programme of population science research focused on Asian populations. This may include studies of the relationships and mechanisms underlying healthy ageing and the transitions to chronic disease. The appointee will be able to take advantage of the extensive multi-modal research, molecular and linked health record data collected for SG100K participants. The appointee will also have a unique opportunity to work synergistically with the SG100K cohort study and contribute to cross-cutting translational research in environmental, clinical, molecular, and genomic epidemiology. This fantastic foundational resource will enable the appointees to develop an independent program of research that builds on the successes of SG100K and advances Precision Health and Precision Medicine for Asian populations. A focus on understanding the behavioural determinants of health outcomes, in the context of genomic and molecular background, is welcome. Strong emphasis should also be placed on clinical translation, including engagement through national platforms. The appointee will be hosted within the Population and Global Health Research Programme at LKCMedicine. The Programme Director of Population and Global Health, Professor John Chambers, leads the SG100K cohort study and also serves as the Chief Scientific Officer for the National Precision Medicine programme. Extensive well-established interdisciplinary and cross-institutional collaborations with epidemiologists, clinicians, data scientists, engineers and architects, are available for the appointee to build on. There is also a mature team of postdoctoral fellows engaged in SG100K research, who will be able to provide initial support for the appointees’ research programmes. The appointee will be expected to secure independent research funding, to drive innovative programs of work leading to clinical translation, and to build productive interdisciplinary collaborations within LKCMedicine and NTU Singapore, with our healthcare partners, as well as with national and with international researchers. The appointee is required to contribute to teaching and educational responsibilities for the training of medical students and postgraduate research students. Minimum Qualifications MBBS/MD and/or PhD or equivalent degree in epidemiology, public health, health informatics, behavioural science, or a closely related field. A strong research record with peer-reviewed publications in population science, behavioural epidemiology, health informatics, or related areas. Demonstrated ability to secure or contribute to competitive research funding. Evidence of excellence in teaching and mentoring at the undergraduate and/or graduate level. Preferred Qualifications Experience with advanced statistical and computational methods for analyzing behavioral and health informatics data. Proficiency in data science tools and programming languages (e.g., R, Python, SAS, or SQL) for public health research. Experience in digital health interventions, mobile health (mHealth), wearable technology, or electronic health records (EHR) research. A track record of interdisciplinary collaboration, particularly at the intersection of population science, epidemiology, informatics, and behavioral sciences. Experience with large-scale cohort studies, survey research, or machine learning applications in public health. Key Skills Strong quantitative and analytical skills with expertise in epidemiological study design. Ability to integrate behavioral science principles with health data analytics to inform public health policies and interventions. Excellent communication skills, with the ability to convey complex research findings to diverse audiences. Leadership and teamwork abilities to foster collaborations across departments and institutions. Commitment to diversity, equity, and inclusion in research, teaching, and service. Interested applicants are invited to apply to Associate Professor Yasunori Saheki, Vice Dean (Faculty Affairs) for the respective positions with a detailed resume at the link below: Associate/Assistant Professor of Population Science - Only shortlisted candidates will be notified. Closing date: 8 December 2025 #J-18808-Ljbffr