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Academic brand and common R/Python skills attract moderate applicant density for niche research roles.
Core programming skills are transferable, but epidemiological modelling and research context create moderate domain specificity.
Requires specific research software skills (R/Python/C++) and reproducibility practices, but no explicit years, so moderate strictness.
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Lead development of open-source research software supporting reproducible, maintainable, and traceable mathematical modelling workflows for public health agencies.
Develop pipelines using AI for synthesizing mathematical models from literature, enabling structured comparison of modelling approaches.
Integrate modelling software with Communicable Diseases Agency data pipelines and analytical workflows; contribute to research on software reliability and robustness.
Bachelor's or Master's degree in computer science, mathematics, software engineering, or equivalent with strong quantitative component.
Practical experience in software development within research or related environments.
Proficient in programming with R, Python, C++ and version control using GitHub.
Work Experience Required: Not explicitly mentioned in the JD.
Experience working in interdisciplinary research teams focused on epidemiological or infectious disease modelling.
Strong collaborative skills to work with external stakeholders including public health agencies.
Ability to support reproducible and FAIR-compliant software development in an applied research setting.