Postdoctoral position in Statistics/Biostatistics at the National University of Singapore

The International Society for Bayesian Analysis; Singapore; On-site; SGD 50,000 - 80,000; Full time

Job summary

The National University of Singapore offers a Research Fellow position in the Biomedical Data Science division, focusing on Bayesian statistics. Candidates with a PhD in Statistics and experience in Bayesian computational tools are encouraged to apply. The role involves collaborations with clinical researchers and offers a contract of 2 to 3 years with possible extensions.

Qualifications

• Hold a PhD in Statistics or closely related field.
• Good knowledge of Bayesian inference and computational tools.
• Experience in a research environment.

Responsibilities

• Contribute to methodological and computational advancements in Statistics.
• Work closely with clinical and biomedical researchers.

Skills

Bayesian inference

Programming skills in R

Knowledge of MCMC and SMC

Education

PhD in Statistics or closely related field

Tools

C/C++

Job description

Postdoctoral position in Statistics/Biostatistics at the National University of Singapore

Sep 7, 2023

The Biomedical Data Science division (https://medicine.nus.edu.sg/sites/bids/ ) in the Yong Loo Lin School of Medicine at the National University of Singapore (NUS) led by Prof. Maria De Iorio invites applications for a Research Fellow position in Statistics. The division focuses on methodological and computational contributions in Statistics, in particular within the Bayesian framework. The group works in close contact with clinical and biomedical researchers across NUS and the Agency for Science, Technology and Research (A*STAR). Motivating applications arise from cohort studies such as GUSTO (Growing Up in Singapore Towards healthy Outcomes) and S-PRESTO (Singapore PREconception Study of Long-Term Maternal and Child Outcome), and the NUS Human Potential Translational Research Programme. Appointment will be on a 2 or 3 year contract in the first instance, with the possibility of extension.

Qualifications
The applicant should:
– hold a PhD in Statistics or closely related field (essential)*
– possess a good knowledge of Bayesian inference and Bayesian computational tools such as MCMC and SMC (desirable)
– programming skills in R and one of C/C++ or equivalent
– experience of working in a research environment
*Exceptional candidates without a PhD can be considered for research assistantships and PhD studentships.

Remuneration will be commensurate with the candidate’s qualifications and experience.

Informal enquiries and CVs can be sent to Dr. Willem van den Boom ([e-mail]). Only shortlisted candidates will be notified.