Postdoctoral Fellow (NUS R&G Postdoctoral Fellowship Programme)

NATIONAL UNIVERSITY OF SINGAPORE

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Postdoctoral Fellow

(NUS Resilience and Growth Postdoctoral Fellowship Programme)

A postdoctoral fellow position is available at the Saw Swee Hock School of Public Health to support the Principal Investigators in research projects in the areas of Biostatistics and Clinical Trials.

Major duties and responsibility of the post includes providing statistical input in the design, monitoring and analysis of clinical trials. In addition, the candidate is required to assist in report writing, presentations, and publication of the manuscripts in peer-reviewed journals. Furthermore, he/she will need to contribute to the development and writing of clinical trials proposals.

The candidate must be an independent mature worker who is well-organized and has an eye for details. The candidate must possess excellent written and verbal communication skills. He/She must possess the ability to work effectively with colleagues to achieve team goals. Good proficiency in the following areas is essential:

  • Microsoft Office Applications, particularly MS Word, Excel and Powerpoint.
  • Statistical software such as Stata, SAS and R.
  • This postdoctoral fellowship programme position is open to all Singaporean/Singapore PR PhD holders and PhD candidates with academic background in Medical Statistics/Statistics, who have submitted their final thesis. The grade of appointment will be accorded based on qualifications and work experience.

    Recruitment is open immediately, and will continue until the position is filled. Please submit a brief statement of interest, CV, three named references, and other supporting documents during the application. For further enquiries, please contact A/Prof Tai Bee Choo ([email protected] g )

    We regret that only shortlisted candidates will be notified.

    Qualifications

    PhD holders and PhD candidates with academic background in Medical Statistics/Statistics, who have submitted their final thesis. 

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