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Position: Research Associate (Biostatistics and Modelling)
Institution: National University of Singapore
Location: Singapore
Duties: The Biostatistics and Modelling Domain in the Saw Swee Hock School of Public Health, NUS, is seeking to hire research staff for several positions to develop mathematical, statistical and computational models of disease to answer public health policy questions. Applications will include infectious diseases and non-communicable diseases. The successful applicants are expected to develop and code models, document code, analyse data, create visualisations and user interfaces, prepare reports and presentations, and contribute to writing scientific papers
Requirements: Applicants are expected to have a degree in a suitable quantitative discipline, such as statistics, applied mathematics or computational biology. For the position as research associate, this degree should be a masters. Other requirements include: Having good command of English, both written and spoken; Being great at scientific coding, for instance in R, C++ or python; Being a team player and able to work to ridiculous deadlines; Having a love of solving ill-posed problems; Being willing to learn about public health, disease and epidemiology
   
Text: By continuing to use and navigate this website, you are agreeing to the use of cookies. Accept Close Skip to main content Language English (United Kingdom) View profile Language English (United Kingdom) View profile Home Page View All Jobs for NUS Language English (United Kingdom) View profile Search by Keyword Show More Options Search by Location (enter Kent Ridge, Outram, Bukit Timah or others) Loading... Department Job Category Organisation × Send me alerts every days Create Alert × Send me alerts every days Share this Job Research Associate (Biostatistics and Modelling) Apply now » Apply now × Apply for Job × × × Enter your email to apply Date: 08-Sep-2021 Location: Kent Ridge Campus, SG Company: National University of Singapore Job Description Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health: Research Associate Job Description The Biostatistics and Modelling Domain in the Saw Swee Hock School of Public Health, NUS, is seeking to hire research staff for several positions to develop mathematical, statistical and computational models of disease to answer public health policy questions. Applications will include infectious diseases and non-communicable diseases. The successful applicants are expected to develop and code models, document code, analyse data, create visualisations and user interfaces, prepare reports and presentations, and contribute to writing scientific papers. Requirements Applicants are expected to have a degree in a suitable quantitative discipline, such as statistics, applied mathematics or computational biology. For the position as research associate, this degree should be a masters. Other requirements include: • Having good command of English, both written and spoken • Being great at scientific coding, for instance in R, C++ or python • Being a team player and able to work to ridiculous deadlines • Having a love of solving ill-posed problems • Being willing to learn about public health, disease and epidemiology Singapore citizens and permanent residents are especially encouraged to apply. Recruitment is open immediately and will continue until the position is filled. Qualifications Requirements Applicants are expected to have a degree in a suitable quantitative discipline, such as statistics, applied mathematics or computational biology. For the position as research associate, this degree should be a masters. More Information Location: Kent Ridge Campus Organization: Saw Swee Hock School of Public Health Department : Dean's Office (SSH Sch of Public Health) Employee Referral Eligible: No Apply now » Apply now × Apply for Job × × × Enter your email to apply Find similar jobs: View All Jobs for NUS, View All Jobs, Academic and Research Positions Legal Branding guidelines Contact us 中文 © National University of Singapore. All Rights Reserved.
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