Assistant / Associate Professor (Tenure-track/Tenured) (Population Health - Applied Health Services)

Job Description

The Signature Research Programme in Health Services and Systems Research (HSSR) at Duke-NUS Medical School (Duke-NUS) in Singapore invites applications from outstanding candidates. Duke-NUS embodies a partnership between Duke University and National University of Singapore (NUS). It works closely with the Singapore Health Services (SingHealth) 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 HSSR programme aims to advance the science in health services and systems research, and build capacity to conduct and use health services research. 

We invite applications for a tenure-track/tenured faculty position based in Singapore at the rank of Assistant Professor or Associate Professor. Job title, salaries and benefits will be commensurate with the candidate’s accomplishments and experiences.

We are looking for an outstanding candidate to join our applied health services research team. The successful candidate will perform a variety of functions related to research, including but not limited to the following: -

• Develop and lead research projects relevant to Singapore’s health services.
• Support existing and new projects conceived by others working in Singapore’s health services.
• Conduct methodological research.
• Engage in research relevant to the region and/or international contexts.
• Engage in competitive research grant applications.
• Teach courses and supervise PhD students in the appropriate fields.
• Provide mentorship to researchers in collaborative projects. 
   

Job Requirements

• PhD or equivalent qualifications in Economics, Biostatistics, Data Science, Decision Science, Epidemiology or any other relevant fields of health services research. 
• Prior experience in modelling and simulation studies is required as this role has a strong quantitative focus. 
• Have prior experience in health services research and a publication record in peer-reviewed health, economics, statistical, data science, epidemiological or biomedical journals. 
• Prior experience in supervising graduate students; experience in teaching and/or mentorship will be advantageous. 
• While candidates with expertise in all relevant areas are welcome to apply, preference may be given to candidates with expertise in topics such as discrete choice experiments, cost-effectiveness modelling, systems dynamics, econometrics, Bayesian methods, machine learning and artificial intelligence in healthcare applications.
• Possess strong analytical and problem-solving skills.
• Able to communicate efficiently with clinicians and researchers, both verbally and in writing.
• Have track record in applying for and securing grants as a principal investigator or part of a team. 

We regret that only shortlisted candidates will be notified.

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.