Full-timeHealthcare & care· Posted 1 Oct

Research Associate (Comparative Effectiveness and Real-World Data Analytics)

NUSFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeKent Ridge Campus, Singapore

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

About the role

A full-time research position with the Centre for Health Intervention and Policy Evaluation Research at the Saw Swee Hock School of Public Health, NUS. The role leads Phase III of the RODEO project, running comparative analyses on oncology real-world data, and suits someone with a relevant Master's degree and a background in biostatistics, epidemiology, health services research, health economics, public health or data science.

What you'll do

Lead the design and execution of comparative effectiveness analyses using real-world oncology data
Develop study protocols and statistical analysis plans for observational cohort analyses

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Apply methods to address confounding, selection bias, missing data and other threats to internal validity

Conduct analyses using propensity score matching, inverse probability weighting, direct covariate adjustment, difference-in-differences, instrumental variables and survival analysis

Perform time-to-event analyses including overall survival and progression-related outcomes

Support partitioned survival analyses and other methods relevant to economic evaluation and health technology assessment

Work with clinicians, health economists and data scientists to identify clinically relevant treatment comparisons and confounders

Collaborate with data engineers and analysts on variable construction and dataset readiness

Interpret findings in the context of health technology assessment, reimbursement and policy decision-making

Prepare technical reports, presentations, manuscripts and conference abstracts

Ensure analyses follow methodological standards such as STROBE and ISPOR good practice recommendations

Participate in project meetings with collaborators across NUS, NCIS, NUH, TTSH, NCCS and other partner institutions

Good to know

Based at Kent Ridge Campus, Singapore

Requirements

Master's degree in Biostatistics, Epidemiology, Public Health, Health Economics, Data Science, Statistics, Health Services Research or a related discipline
Experience working with large observational healthcare datasets, registries or electronic medical records
Strong knowledge of causal inference and comparative effectiveness methods
Experience using statistical software such as R, Stata, SAS or Python
Strong written and verbal communication skills
Able to work independently and collaborate in a multidisciplinary research team

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Research Associate (Comparative Effectiveness and Real-World Data Analytics)

About the role

What you'll do

Good to know

Requirements

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