Associate Professor / Professor (CCB/Tenure Track)

Date: 12 May 2023

Location: DUKE-NUS MEDICAL SCHOOL, Outram Campus, SG

Company: National University of Singapore

Job Description

Duke-NUS Medical School (Duke-NUS), Singapore’s only graduate-entry medical school, was established as a landmark collaboration between two world-ranking institutions of higher education – Duke University and National University of Singapore. Duke-NUS provides innovative education and impactful research to enhance the practice of medicine in Singapore and beyond. The School also has strong research ties with Singapore Health Services (SingHealth), one of Singapore’s major healthcare providers, other major research institutions in Singapore, and with Duke University.

Duke-NUS seeks highly qualified candidates in genomics medicine, computational biology and medicine for a tenure-track faculty appointment in the Centre for Computational Biology (CCB) (see, jointly appointed with one of Duke-NUS’ five Signature Research Programmes (SRPs) of Cancer & Stem Cell Biology, Cardiovascular & Metabolic Disorders, Emerging Infectious Diseases, Health Services & Systems Research, and Neuroscience & Behavioral Disorders. 

The recruitment package will include an attractive salary, generous start-up research funding as well as laboratory space. The successful candidate is expected to establish a collaborative and productive research team and secure internationally competitive grants to sustain his/her research in the long term.

Job Requirements

  • Ph.D. or equivalent with a strong background and proven track record in genomics medicine, computational biology and medicine, and/or in related areas such as quantitative biology, computational genomics, applied computational statistics, machine learning and AI, and big-data science.
  • Able to develop and/or employ computational tools to tackle fundamental questions in biomedical research with a well-defined and demonstrated application to human disease at a basic, translational, or clinical level. 
  • Possess an exceptional international research profile in relation to career stage, and be committed in employing cutting-edge computational and/or systems biology approaches to study human disease.
  • Demonstrated expertise in combining both computational and experimental work is advantageous as well as an interest in cross-disciplinary collaborations and ambitions that will build on Duke-NUS’ core strengths in molecular, cellular and biomedical science.
  • Proven track record in obtaining competitive research funding and publications in high impact scientific journals.
  • Prior experience in translating research towards pre-clinical or commercial applications is desirable but not essential.
  • Able to mentor students in the Duke-NUS PhD programmes in Integrated Biology and Medicine (IBM) and Quantitative Biology and Medicine.


Interested candidates should send a full application with CV, a statement of research interests, and the names of three referees to the Centre for Computational Biology (CCB), Duke-NUS Medical School Singapore via email to  
Applications will be open until the position is filled and we anticipate to begin interviewing candidates from April 2023. 

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.


Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Outram Campus

Organization: Duke-NUS Medical School

Department : Office of Research

Employee Referral Eligible: No

Job requisition ID : 19363