Multiple research positions in Statistics/Biostatistics at the National University of Singapore

The International Society for Bayesian Analysis; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

The National University of Singapore seeks multiple Research Fellows in Statistics/Biostatistics to work on innovative projects applying Bayesian methods. Candidates should possess a strong academic background, especially a PhD in Statistics, and relevant computational skills. The role involves collaboration with clinical researchers, focusing on impactful cohort studies.

Qualifications

• Hold a PhD in Statistics or closely related field.
• Good knowledge of Bayesian inference and computational tools.
• Programming skills in R and C/C+ or equivalent.

Responsibilities

• Contribute to methodological and computational research in Statistics.
• Work closely with clinical and biomedical researchers at NUS.
• Engage in cohort studies and translational research initiatives.

Skills

Bayesian inference

Bayesian computational tools

Programming in R

C/C++ programming

Research environment experience

Education

PhD in Statistics or closely related field

Job description

Multiple research positions in Statistics/Biostatistics at the National University of Singapore

The Biomedical Data Science division in the Yong Loo Lin School of Medicine at the National University of Singapore (NUS) led by Prof. Maria De Iorio invites applications for multiple Research Fellow positions 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), electronic medical records and the NUS Human Potential Translational Research Programme. Appointments 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]).