Assistant Professor (Hssr/Ng)

National University Of Singapore, Central RegionThe National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in SingaporeCompany description:The National University of Singapore is the national research university of Singapore. Founded in 1905 as the Straits Settlements and the Federated Malay States Government Medical School, NUS is the oldest higher education institution in SingaporeJob description: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 research-track position based in Singapore at the rank of Assistant Professor. Job title, salaries and benefits will commensurate with the candidates accomplishments and experiences.We are looking for an outstanding candidate to join our health services research team. The successful candidate will perform a variety of functions related to research, including but not limited to the following:Manage and curate large datasets.Lead study design and protocol writing.Develop cost effectiveness models and conduct other relevant economic analyses.Disseminate findings at seminars and in peer reviewed journals.Job Requirements PhD in Health Economics.Prior experience leading and completing research projects.Prior experience of Markov models, decision trees and discrete event simulations.Have experience and expertise of prediction models using data science methods.Proven track record of academic publications and award recognitions.We regret that only shortlisted candidates will be notified.Company information Registration No.200604346EReport this job advert Don't provide your bank or credit card details when applying for jobs.Researching careers? Find all the information and tips you need on career advice.#J-18808-Ljbffr