ContractHealthcare & care· Posted 2 Oct

Research Associate (NUS-IHME Global Burden of Disease Research Centre)

NUSFrom company site

Salary

Not stated by the company

When

To be confirmed

Where

SingaporeKent Ridge Campus, Singapore

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

About the role

Join the NUS Institute for Health Metrics and Evaluation Global Burden of Disease Research Centre, working with the Yong Loo Lin School of Medicine on an international study estimating health loss from diseases, injuries and risk factors. You will report to the Principal Investigator and support ongoing research cycles, so this suits a methodical researcher who enjoys applying data to public health questions. The appointment is on a 1-year or 2-year contract in the first instance, with possible extension.

What you'll do

Carry out systematic reviews and help with data extraction, cleaning and quality checks ahead of analysis

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Support analysis work such as descriptive statistics and producing graphs, tables, maps and other figures that visualise health data

Interpret and critically appraise results, cross-checking outputs against existing evidence, spotting implausible estimates and looking into discrepancies

Plan and run analyses in a structured, reproducible way with clear documentation for team auditability and continuity

Help develop manuscripts and other materials for key publications

Provide analytical and visualisation support to local and regional partners, including Ministries of Health and multilateral agencies across Asia

Take on other similar duties delegated by the Principal Investigator

Good to know

1-year or 2-year contract in the first instance, with the possibility of extension
Based at Kent Ridge Campus
Full training provided for systematic review methods and databases
Remuneration commensurate with qualifications and experience

Requirements

Master's degree in epidemiology, public health, biostatistics, statistics, mathematics, social sciences, medicine or another quantitative discipline
Basic working knowledge of epidemiological measures such as incidence, prevalence, mortality rates, age-standardized rates and disability-adjusted life years
Proficiency in R or Python for data wrangling, analysis and visualisation, with understanding of the logic behind analytical steps
Familiarity with statistical concepts including measures of central tendency, regression models, uncertainty estimation and data quality assessment
Ability to break a research question into sequenced analytical tasks, anticipate errors and document processes for reproducibility
Willingness to interrogate results critically and investigate surprising or inconsistent findings

Benefits

Full training provided for systematic review methods and databases
Opportunity to be part of a global research network advancing data-driven health policy

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Research Associate (NUS-IHME Global Burden of Disease Research Centre)

About the role

What you'll do

Good to know

Requirements

Benefits

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