Full-timeHealthcare & care· Posted 2 Oct

Research Fellow

Duke-NUS Medical SchoolFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

OutramOutram Campus, Singapore

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Start: Not stated
Work mode: On-site
Experience: Some experience

About the role

Join the Centre for Ageing Research & Education, an academic research centre at Duke-NUS Medical School, as a full-time Research Fellow. The centre brings together multidisciplinary expertise across medical, social, psychological, economic and environmental perspectives, and this role suits a quantitative health researcher keen on ageing research and data linkage. You will help uplift existing ageing research cohort datasets to FAIR principles and enable their secondary use.

What you'll do

Act as dedicated cohort data manager and lead extraction, management and preparation of cohort datasets for research requests
Standardise and harmonise cohort datasets
Help develop, maintain and enhance cohort codebooks and data dictionaries

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Support development and implementation of data governance frameworks, policies and standard operating procedures

Prepare data for ingestion into the TRUST national linkage platform, aligning with data standards and interoperability needs

Lead longitudinal analyses of harmonised cohort and TRUST data on health and ageing trajectories

Maintain documentation in line with the Human Biomedical Research Act and assist with ethics approvals and IRB and funder reporting

Lead research outputs such as publications and conference presentations

Contribute to competitive grant proposals

Support education activities including seminars and workshops

Good to know

Based at Outram Campus, Singapore
Full-time position

Requirements

PhD in a quantitative health discipline such as epidemiology, public health, medicine, biostatistics, health or clinical informatics, pharmacy, geriatrics or gerontology, or psychology
Experience in gerontology, geriatric or ageing research, with knowledge of geriatric syndromes like falls, fractures, dementia and chronic pain
Proven ability to conduct independent research, publish high-quality work and collaborate effectively
Proven ability to analyse large, complex healthcare datasets; real-world data experience is an advantage
Familiarity with advanced longitudinal analysis of transitions in health states over time
Strong statistical programming skills, preferably in R

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Duke-NUS Medical School

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Research Fellow

About the role

What you'll do

Good to know

Requirements

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