Key Responsibilities

• Support the development and implementation of statistical and epidemiological analyses aligned to the project’s research questions.
• Contribute to the preparation of statistical analysis plans, including variable definition, model specification, and analytical approaches appropriate for mixed-methods research.
• Conduct data management, cleaning, and preparation, ensuring high standards of data quality, documentation, and reproducibility.
• Track, document, and resolve data management queries in collaboration with data management and field teams, ensuring timely clarification of data issues.
• Implement and support routine data quality checks, including consistency checks, validation routines, and flagging of anomalies across datasets.
• Work closely with the Qualitative Lead to support integration of quantitative and qualitative findings, including triangulation and interpretation.
• Develop and maintain reproducible analytical workflows (R/Stata/Python), including well-documented code, outputs, and version control practices.
• Contribute to the development of simple, user-friendly analytical tools or summaries (e.g., dashboards, scripts, visualisations) to support interpretation and dissemination of findings.
• Participate in internal and external collaborations with multidisciplinary teams, including epidemiologists, social scientists, and policy stakeholders.
• Support manuscript writing, report development, and preparation of policy-relevant outputs, including contributing to peer-reviewed publications.
• Contribute to capacity strengthening activities, including supporting junior researchers, students, or research assistants where appropriate.
• Ensure compliance with all relevant ethical, regulatory, and data governance requirements throughout the research process.

Vacancy Requirements

• PhD in Statistics, Biostatistics, Mathematics, Epidemiology, or a related quantitative field. (Mandatory)
• Post-doctoral or equivalent research experience in statistical or epidemiological analysis. (Mandatory)
• Demonstrated experience in analysing health or population data. (Mandatory)
• Experience with reproducible research practices and statistical programming (R, Stata, or Python). (Mandatory)
• Experience working in multidisciplinary or mixed-methods research teams. (Mandatory)
• Strong analytical and quantitative reasoning skills. (Skills & Competencies)
• Experience with data quality assurance processes and query management workflows. (Mandatory)
• Ability to translate complex analyses into clear, policy-relevant insights. (Mandatory)
• Competence in statistical programming and data management. (Skills & Competencies)
• Strong written and verbal communication skills. (Skills & Competencies)
• Ability to work collaboratively within multidisciplinary teams. (Skills & Competencies)
• Strong attention to detail in data validation and documentation. (Skills & Competencies)
• High levels of integrity, professionalism, and attention to detail. (Skills & Competencies)
• Ability to manage tasks and deliver outputs within defined timelines. (Skills & Competencies)