The Ocular Epidemiological Research Group at SERI conducts ophthalmic epidemiologic research in Singapore and Asia under the Singapore Epidemiology of Eye Diseases (SEED) programme collectively involving over 10,000 study subjects, with comprehensive clinical, image and genetic data. One of the projects including SEED data is ‘Diabetes studY in Nephropathy And other Microvascular cOmplications (DYNAMO-II)’. DYNAMO-II aims to determine the longitudinal relationship between retinal imaging parameters and long-term risk and progression of chronic kidney disease (CKD) and determine the predictive value of retinal vascular imaging measures in identifying patients at risk of CKD, and other adverse outcomes including renal failure, cardiovascular disease and deaths using both data-derived machine learning and retinal image-based “deep learning” algorithms with validation in different local and international cohorts. DYNAMO also includes a clinical cohort that recruits diabetic patients from clinics to predict the progression of CKD.
Job Responsibilities
- Perform data analyses including (but not limited to) data harmonization, data visualization, survival analyses, regression, and predictive modelling (traditional as well as machine learning models)
- Assist the Principal Investigator in developing and writing analytical plans including sample size calculations for grant applications and statistical analysis and interpretation of results for scientific manuscripts
- Proficient in using advanced data analytics software (e.g., STATA, SAS, R, Python)
- Interpretation and presentation of study results
- Read current literature to keep abreast of novel analytical methods, present them to the PI and key investigators and apply them for suitable projects
- Participate in the preparation of abstracts, posters and presentations
- Ability Perform rigorous quality checks to ensure the integrity, accuracy and completeness of data and planning timelines for delivering the results
Job Requirements:
- A Master’s /Bachelor degree in epidemiology, biostatistics or relevant disciplines
- Over 2 years’ experience working in research or healthcare with a Bachelor degree
- Good knowledge in data management and statistical analysis
- Good written and verbal communication skills
- Ability to work independently with minimal supervision and to multi-task several projects at a time
Note: Eventual package offered will commensurate with qualifications and experience.
