I turn complex health data into actionable insights that improve patient outcomes and advance therapies.
Core Expertise:
• Patient-Centred Research: Developed outcome measures assessing caregiver quality of life, economic burden of paediatric conditions, and patient-caregiver perception alignment
• Statistical & ML Modelling: Advanced proficiency in R, Python, and SQL for regression modelling, survival analysis, propensity score methods, and machine learning applications
• Real-World Data Analysis: Experience wrangling large datasets from diverse sources, building reproducible analytical pipelines, and creating effective visualisations for technical and non-technical audiences
• Regulatory & Scientific Rigour: Strong foundation in mixed methods research design, protocol development, statistical analysis planning, and peer-reviewed publication (18+ publications)
Technical Toolkit:
R | Python | SQL | Git/GitHub | Machine Learning | Statistical Inference | Data Visualisation | Reproducible Research Workflows
📊 Portfolio: https://roddalben.github.io/
💻 GitHub: https://github.com/RodDalBen
Interested in advancing patient-centred research, real-world evidence, and biostatistics through innovative data science approaches.