Data Scientist and Modeller
About the job
This job is all about making a real impact on health policy through innovative simulation modelling. By joining the Population Interventions Unit, you will collaborate with a dynamic team of experts to develop Python-based models that inform critical health decisions. The environment is supportive and encourages growth, allowing you to enhance your technical and leadership skills while contributing to meaningful projects.
You'll be responsible for
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Developing simulation models
Develop, extend and maintain Python-based multistate lifetable and related simulation models for public health interventions.🔄
Building data pipelines
Build reproducible data pipelines, process large datasets and generate model inputs using robust statistical methods.✅
Validating models
Validate, calibrate and document models, ensuring transparent, high-quality code and clear user-facing documentation.Key criteria
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Python programming skills
Proven experience with Python for simulation modelling.View
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Data analysis expertise
Demonstrated ability to analyze complex datasets effectively.View
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Experience with statistical methods
Proven background in robust statistical methods for data processing.View
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