Summary
Basil Okola is a data-focused research assistant and biostatistician with eight years' experience managing and analyzing large clinical and program datasets across Kenya and Europe. He combines strong applied statistics training (BSc Applied Statistics, PGDip in Research Methods, MSc in Statistics & Data Science) with hands-on skills in Python, R, SQL and reproducible workflows (Git/GitHub) to deliver data pipelines, validation rules and automated cleaning scripts. At Karolinska Institutet he splits work between data management for cognitive and ALS studies and statistical modelling of cognitive risk after COVID-19, contributing analysis toward peer-reviewed publications. Previously he led secure, cost-effective clinical data systems at KEMRI-Wellcome and Evidence Action, building CRFs, encryption protocols, and centralized MySQL infrastructures while training users and documenting SOPs, DMPs and DAPs. Known for bridging rigorous data governance with pragmatic programming, he often surfaces data-quality issues early and converts them into measurable improvements for field teams. Based in Nairobi, he brings a practical mix of research rigour and production-ready tooling that accelerates evidence generation in health research.
8 years of coding experience
3 years of employment as a software developer
Post Graduate Diploma, Research Methodology and Quantitative Methods, Credit, Post Graduate Diploma, Research Methodology and Quantitative Methods, Credit at Pwani University
Bachelor’s Degree, Applied Statistics, Second Class Honours Upper Division, Bachelor’s Degree, Applied Statistics, Second Class Honours Upper Division at Maseno University
Master of Science - MS, Statistics and Data Science, Master of Science - MS, Statistics and Data Science at UHasselt
English