Singapore Eye Research Institute


Job Category:  Research
Posting Date:  08-Mar-2023

The Singapore Eye Research Institute (SERI) serves as Singapore’s national research institute for ophthalmic and vision research and functions as the research arm of the Singapore National Eye Centre. As part of the SingHealth Duke-NUS Academic Medical Centre (AMC), SERI undertakes vision research in collaboration with local and international clinical ophthalmic centres and biomedical research institutions. To date, SERI, together with the Ophthalmology & Visual Sciences Academic Clinical Program (Eye ACP) at Duke-NUS, has developed a world-leading reputation in broad-based clinical translational research and epidemiological programmes for major blinding eye diseases.

The Population Health Research (PHR) Group at SERI conducts patient-centred and clinical health services research in Ophthalmology in Singapore and Asia. We have setup several large clinical and population-based multi-centre collaborative studies to (a) better understand the pathophysiology of the aging visual system and its interaction with other aspects of functional aging; (b) evaluate innovative screening and intervention strategies to improve ocular health and patient outcomes in disadvantaged populations; and (c) develop and validate novel instruments (questionnaires) to comprehensively evaluate quality of life (QoL) in individuals with debilitating ocular and systemic diseases. 

We are inviting suitably qualified candidates for the position of Biostatistician in the PHR group under the direct supervision of Professor Ecosse Lamoureux, Head of the PHR group and Director of the Population Health Platform at SERI. This position offers an excellent opportunity for the applicant to undertake and further develop their statistical research skills at SERI under his mentorship and that of other capable senior statisticians. An interest in patient-centred, epidemiological and health services research in ocular diseases and/or the aging population will be good.


He/she will be expected to:
•    Advise on all statistical aspects relating to the design and analysis of research studies including hypothesis formulation, subject sampling and randomization, and sample size determination 
•    Provide expert input to the methodological sections of funding applications, research protocols, statistical reports, and scientific manuscripts
•    Develop complex statistical analysis strategies and execute them efficiently using advanced programming techniques
•    Work closely with research coordinators and data managers to align data collection procedures and protocols with analytical plans
•    Regularly perform rigorous quality checks to ensure the integrity, accuracy and completeness of data within various databases
•    Conduct analysis, visualisation, and modelling of longitudinal clinical and epidemiological data
•    Create publication-standard tables, listings and figures for study reports
•    Keep abreast of and advise on the latest statistical techniques and tools
•    Work collaboratively and build relationships with team members, study investigators and collaborators
•    Coach and mentor research fellows, and medical students
•    Perform other related or additional duties assigned by the PI

The duties and responsibilities outlined are not intended to be an exhaustive list but provide guidance on the main aspects of the job. The incumbent will be required to be flexible in their duties.


•    At least a Bachelor degree in Biostatistics, Medical Statistics, or a relevant discipline
•    Experience managing and analysing longitudinal clinical, health, or epidemiological research data
•    A thorough understanding of the statistical aspects and design considerations of randomized controlled trials and observational studies
•    Comprehensive knowledge of advanced statistical methods, causal inference, and predictive modelling techniques
•    Proficient in the use of Stata and at least another statistical software (e.g. R, SAS)
•    Good written and verbal communication skills, especially in relation to explaining complex techniques and interpreting the results of statistical analyses to study team members 
•    Ability to work independently with minimal supervision 
•    Uncompromising on the quality and timeliness of statistical deliverables
•    Ability to see the big picture, whilst still maintaining rigour on detail and implementation
•    An analytical mind and self-driven personality, proactive in providing statistical advice at all stages of a project’s life cycle

•    Knowledge and experience with building machine learning predictive models
•    Knowledge of ophthalmology, health economics or psychometrics 
•    A history of first- or co-authorship in scientific journals 


The successful candidate can expect a competitive remuneration package commensurate with qualifications and experience. He/She can additionally be assured of a fulfilling and challenging career in a fast-paced and dynamic organization. We strongly encourage continuous education and development through our in-house training programmes and external courses.