Appointment:

Faculty
 

Job Title: 

Assistant / Associate Professor (Tenure Track)
 

Job Code: 

OR/CCB
 

Job Responsibilities:

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 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 Cell and Functional Systems Biology for a tenure-track faculty appointment in the Centre for Computational Biology (CCB) (https://www.duke-nus.edu.sg/ccb), jointly appointed with one of Duke-NUS’s five Signature Research Programs (SRPs) of Cancer & Stem Cell Biology, Cardiovascular & Metabolic Disorders, Emerging Infectious Diseases, Health Services & Systems Research, and Neuroscience & Behavioral Disorders. CCB provides a nucleus for expertise in computational biology to study key questions in biomedical research.

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

Job Requirements:

  • Ph.D. or equivalent with a strong background and track record in systems biology, cell biology, functional genomics and/or related fields.
  • Proven knowledge and skills in systems biology research with a well-defined application to human disease at a basic, translational or clinical level.
  • Exceptional international research profile in relation to their career stage, and be committed to using systems biology approaches to study cellular networks and functional pathways that underlie human diseases, and identify pharmacological targets.
  • Demonstrated expertise in integrating computational and experimental work is essential.
  • 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.
  • Ability to mentor students in the Duke-NUS PhD programme in 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: Chair, Search Committee on Centre for Computational Biology, Duke-NUS Medical School, Singapore by email to: hr@duke-nus.edu.sg.

Applications will be accepted until the position is filled, with review to begin from 1 June 2020.
We regret that only shortlisted candidates will be notified.

Expiry Date: Dec 31, 2020