Interested applicants are invited to apply directly at the NUS Career Portal
Your application will be processed only if you apply via NUS Career Portal
We regret that only shortlisted candidates will be notified.
Job Description
The National University of Singapore invites applications for a Research Fellow in the Department of Paediatrics, Yong Loo Lin School of Medicine. Appointments will be made under a 1-year contract of service in the first instance and may be extended subsequently.
Origins Lab
The overarching aim of the lab is to understand the developmental origins of health and disease (DOHaD) and translate it into meaningful clinical insights. We hope to maximize human potential (neurodevelopment) and prevent the development of obesity/cardiometabolic disease at its root, early in life.
Using data collected from multiple longitudinal birth cohorts, we utilize rigorous statistical methods including growth modelling (mixed effects models, various parametric and non-parametric models, etc.), mixture modelling (quantile g-computation, etc.), causal inference, machine learning, and multi-omics analysis.
We are a newly established lab, providing an inspiring and positive environment which nurtures scientific curiosity and the development of valuable quantitative skills, whether for a career in academia or industry. You will work within the team under Principal Investigator Dr Yi Ying Ong alongside multiple international collaborators and world-class scientists in the field.
We are seeking highly motivated and self-driven candidates interested in child health, have strong analytical skills, and are enthusiastic about learning new skills in data analysis and coding.
Duties and Responsibilities
- Lead high-impact publications (with guidance)
- Assist in grant applications
- Optimization/automation of existing workflows
- Exploration of novel statistical methods from leading journals
Qualifications
- PhD in quantitative discipline such as data science, bioinformatics, computational biology, life sciences, epidemiology, biostatistics, psychology, statistics, mathematics, computer science, engineering, physics, or related disciplines.
- Proficient in Stata, R, MATLAB, or Python
- Good writing skills
- Works well in a team
Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Dr Yi Ying Ong at [email protected]
Formal application: Please submit your application, indicating expected and current salary, supported by a detailed CV (including personal particulars, academic and employment history, list of publications/oral presentations, if any) to:
Only shortlisted candidates will be notified.
