Research Associate (Biostatistics and Modelling)

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Biostatistics-and-Modelling%29/33200-en_GB/?st=141BEF5F2248FFEB18DC476F6C0C960C34CB32A1

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:
Research Associate (1 year in the first instance)

A research associate position is available in the Saw Swee Hock School of Public Health to support the Principal Investigator, Assistant Professor Hannah Clapham, in research projects in the areas of Biostatistics and Modelling. This post will work on a project studying dengue disease dynamics and burden using mathematical and statistical models.

The research associate will work on statistical and mathematical modelling projects. Major duties and responsibility of the post includes:
- analysing data using statistical and mathematical modelling techniques,
- writing reports, presentations, and publication of results and findings in peer-reviewed journal,
- supervising junior staff as required

Candidate must:
- have two years of research experience in mathematical or statistical modelling applied to the field of epidemiology
- be an independent worker who is well- organized and has an eye for detail.
- possess excellent written and verbal communication skills,
- possess the ability to work effectively with colleagues to achieve team goals,
- have good proficiency in Statistical software (R),
- have experience in the application of quantitative methods to epidemiology and public health questions,

It would be desirable for the candidate to:
- have relevant research experience as part of a degree or post-degree in academia or in industry.
- have research experience beyond that listed above
- have experience of literature reviews and/or analysing epidemiological data

Recruitment is open immediately, and will continue until the position is filled. Applicants should send a brief statement of interest, CV, three named references, and other supporting documents during the application.

For further enquiries, please contact Dr Hannah Clapham at [email protected]

We regret that only shortlisted candidates will be notified.

Qualifications

Possess a masters level degree in Computer Science, Mathematics, Statistics, Engineering, Physics