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Research Assistant (AMR Modelling)

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Assistant (AMR Modelling)

Job Description

The Health Intervention and Policy Evaluation Research (HIPER) team in the Saw Swee Hock School of Public Health, NUS is seeking a Research Assistant to undertake a research project in antimicrobial resistance modelling.
Candidates need to be able to understand statistical modelling, have a strong mathematical background, and be fluent in R programming or Python coding. The candidate will be working with the Principal Investigator(s) on model development and refinement. Job responsibilities include:

  • Analysing data using mathematical modelling techniques
  • Academic writing and publication of results
  • Preparation of meeting materials for stakeholders

This is a full-time position with 1-year contract that may be renewed.

Qualifications

  • Masters or PhD in a quantitative discipline (economics, quantitative finances, statistics, pharmacy, mathematics, data science, computational biology, operational research, computer science, bioinformatics).
  • Very proficient in Statistical Software (R preferred)
  • Proficient in other programming languages such as Python is a plus
  • Excellent written and oral communication skills
  • Good organizational and administrative skills

Applicants should include a brief statement of interest, CV, list of publications (if applicable) and the names and email details of 3 referees who may be contacted immediately if shortlisted.

For further enquiries, please contact Ms Chua Hui Lan (ephchl@nus.edu.sg).

Recruitment is open immediately and will continue until all positions are filled.

We regret that only shortlisted candidates will be notified.

Qualifications

Masters or PhD in a quantitative discipline (economics, quantitative finances, statistics, pharmacy, mathematics, data science, computational biology, operational research, computer science, bioinformatics).

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