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Duke-NUS Medical School – Assistant/Associate Professor (Tenure vs Research)
Company Information: Duke-NUS Medical School (Duke-NUS) embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) healthcare cluster, which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education.
The Signature Research Programme in Health Services & Systems Research (HSSR) aims to advance the science in health services and systems research, and promote capacity to conduct and to use health services research. The Centre for Quantitative Medicine (CQM) is an academic centre for biostatisticians and quantitative scientists and strives to bring the quantitative science and biomedical research communities together. CQM engages in methodological research and offers a PhD specialty track in Biostatistics and Health Data Science. The Centre's Biostatistics Core team primarily provides statistical support for collaborative research involving clinical trials, epidemiology studies and health service research across the Academic Medical Centre. Organizationally, the Centre is housed within the HSSR programme.
Position Title: Assistant/Associate Professor (Tenure vs Research)
Duties and Responsibilities: We are seeking an outstanding researcher whose prime interest involves the following research areas:
Statistical Genetics / Omics
Spatial Statistics
Functional Data Analysis
AI / Machine Learning in the healthcare space
Or any combination of the above
The ideal candidate enjoys working in a multidisciplinary environment, seeks to establish an innovative, pragmatic research agenda in Singapore and the region, and promotes local capacity through mentoring and education in a highly supportive environment. The successful candidate will be expected to maintain two PhD students while employed at Duke-NUS. Opportunities exist for diverse collaborations with SingHealth and other national healthcare organizations, as well as with the SingHealth Duke-NUS Global Health Institute in addition to collaboration with faculty in the Department of Biostatistics and Bioinformatics at Duke University in the USA. This position represents an outstanding opportunity to become a high impact investigator in Singapore.
The successful candidate will also perform other related duties incidental to the work described therein or other duties as assigned by the Director.
Position Qualifications: Job Requirements
PhD in Statistics, Biostatistics or a related field.
Proven track record of publications in reputable journals.
Solid track record in applying for and securing grants as a principal investigator and as part of a team.
Have strong grounding in general statistical theory and methods.
Possess strong analytical and problem-solving skills.
Able to communicate well with clinicians and statisticians, both verbally and in writing.
Prior experience in teaching courses and supervising PhD students
Informal enquiries are welcome and should be directed to CQM Search Committee at CQM@duke-nus.edu.sg. We process the applications on a rolling basis and regret that only shortlisted candidates will be notified.
Salary Range:
Benefits:
Website: https://careers.nus.edu.sg/job/Assistant-Professor-Associate-Professor-%28Tenure-or-Research-Track%29-%28CQMBC%29/27473-en_GB/
Application Information:
Contact Email:
Application Deadline: 12/31/2025
Company NameDuke-NUS Medical School
Company Information
Duke-NUS Medical School (Duke-NUS) embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) healthcare cluster, which is a network of national specialty disease centres, hospitals and polyclinics, to advance medicine and improve lives through cutting-edge research and education.
The Signature Research Programme in Health Services & Systems Research (HSSR) aims to advance the science in health services and systems research, and promote capacity to conduct and to use health services research. The Centre for Quantitative Medicine (CQM) is an academic centre for biostatisticians and quantitative scientists and strives to bring the quantitative science and biomedical research communities together. CQM engages in methodological research and offers a PhD specialty track in Biostatistics and Health Data Science. The Centre's Biostatistics Core team primarily provides statistical support for collaborative research involving clinical trials, epidemiology studies and health service research across the Academic Medical Centre. Organizationally, the Centre is housed within the HSSR programme.
Position TitleAssistant/Associate Professor (Tenure vs Research)
Duties and Responsibilities
We are seeking an outstanding researcher whose prime interest involves the following research areas:
Statistical Genetics / Omics
Spatial Statistics
Functional Data Analysis
AI / Machine Learning in the healthcare space
Or any combination of the above
The ideal candidate enjoys working in a multidisciplinary environment, seeks to establish an innovative, pragmatic research agenda in Singapore and the region, and promotes local capacity through mentoring and education in a highly supportive environment. The successful candidate will be expected to maintain two PhD students while employed at Duke-NUS. Opportunities exist for diverse collaborations with SingHealth and other national healthcare organizations, as well as with the SingHealth Duke-NUS Global Health Institute in addition to collaboration with faculty in the Department of Biostatistics and Bioinformatics at Duke University in the USA. This position represents an outstanding opportunity to become a high impact investigator in Singapore.
The successful candidate will also perform other related duties incidental to the work described therein or other duties as assigned by the Director.
Position Qualifications
Job Requirements
PhD in Statistics, Biostatistics or a related field.
Proven track record of publications in reputable journals.
Solid track record in applying for and securing grants as a principal investigator and as part of a team.
Have strong grounding in general statistical theory and methods.
Possess strong analytical and problem-solving skills.
Able to communicate well with clinicians and statisticians, both verbally and in writing.
Prior experience in teaching courses and supervising PhD students
Informal enquiries are welcome and should be directed to CQM Search Committee at CQM@duke-nus.edu.sg. We process the applications on a rolling basis and regret that only shortlisted candidates will be notified.