Research Assistant / Research Assistant (Senior) (CQM/MG)

Date: 5 Oct 2024

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

Company: National University of Singapore

Job Description

 

The Centre for Quantitative Medicine (CQM) in Duke-NUS Medical School invites applications from outstanding candidates to join a talented data team of data analysts, data scientists and biostatisticians supporting cutting-edge research in a world class academic medical center. The school embodies a strategic partnership between Duke University and National University of Singapore. It works closely with the Singapore Health Services (SingHealth) cluster, a network of national specialty disease centres, hospitals, and polyclinics, to advance medicine and improve lives through cutting-edge research and education. CQM is an academic centre for quantitative scientists and strives to bring the quantitative science and biomedical research communities together. 


We invite applications for a Research Assistant/Senior Research Assistant position for Intensive Care Unit and hospital length of stay after general ward admission from the Emergency Department. The main responsibilities of the successful candidate will be to: (1) perform systematic review on the literature, (2) conduct data pre-processing and data cleaning using R software, (3) write scientific reports and contribute on research papers, (4) collaborate on multiple projects within the lab and (5) attend project meetings and join journal clubs. 

Job Requirement

 

  • Bachelor's degree in Statistics, Computer Science or a related field (Degree must be conferred by the start date of the position).
  • Prior experience in analysing clinical data.
  • Prior experience with systematic reviews.
  • Possess good communication and writing skills.
  • Relevant work experience in research or healthcare will be advantageous.
  • A fast learner, self-motivated and team player with excellent interpersonal skills.
  • Have good work ethics and a positive working attitude.
  • Proficient in MS Office applications. Skills in R programming are advantageous. 

 

We regret that only shortlisted candidates will be notified.