Bio

I’m Christopher Maronga, a Clinical Data Manager and Biostatistician originally from Kenya and currently based in Oxford, United Kingdom.

I specialize in Real-World healthcare Data, observational research, and statistical modelling. My work focuses on designing and managing large-scale clinical and epidemiological databases/datasets, conducting secondary analyses of Electronic Health Records, and generating robust real-world evidence to inform research and decision-making.

I have extensive experience across Phase II and IV clinical studies, longitudinal studies, and linking healthcare datasets. My analytical work includes survival modelling (Cox regression, Kaplan–Meier), predictive modelling, and moderate health economic evaluations.

I’m particularly passionate about statistical computing, database design, and transforming complex health data into clear, actionable insights.

Education

• MSc. Statistical Sciences |Strathmore University
• BSc. in Mathematics |JKUAT

Experience

• Real-World Data (RWD) & Real-World Evidence (RWE)
• Observational & Longitudinal Studies
• Phase II & IV Clinical Research
• Survival & Regression Modelling
• Health Economics & Outcomes Research
• Database Design & Predictive Modelling
• Reproducible Research & Analytical Automation

Technical Skills

• Advanced R – RShiny, reproducible workflows
• SQL/MySQL – Complex querying & relational databases
• REDCap – Clinical data capture systems
• Git/GitHub – Version control
• LaTeX – Scientific reporting
• Docker – Reproducible environments