The Health Intervention and Policy Evaluation Research (HIPER) team in the Saw Swee Hock School of Public Health, NUS is seeking a Research Associate/ Research Fellow to undertake the following:
Assist in the development, roll-out and refinement of patient identification algorithms using data from electronic medical records
Liaison and communication with project collaborators
Ensure compliance to study timeline, milestones, and budget
Maintain proper study-related documentation
Assist with other logistics and administrative tasks related to HIPER
Qualifications
MSc/ PhD in Computer Science, Bioinformatics, or a related discipline.
Very proficient in at least one scripting language (e.g. Python)
Very proficient in at least one statistical software (e.g. R/ Stata)
Knowledge of machine learning methods is a plus
Minimum of 1 – 2 years of working experience; preferably in academic research
Excellent proficiency in Microsoft Word, Excel and PowerPoint
Fluent in written and spoken English
Good organizational and administrative skills
Proactive, willing to learn and able to work on several projects concurrently
Recruitment is open immediately, and will continue until the position is filled. Please submit your CV, covering letter highlighting career goals and relevant experience during the application. For further enquiries, please contact Ms Chen Yu Ting (chenyuting@nus.edu.sg).
We regret that only shortlisted candidates will be notified.
