Jana Stoilova is a Senior Data Scientist based in Toronto with seven years of industry experience and over a decade of programming and analytics practice focused on pharmaceutical product development. She blends statistical modelling, data engineering, and visualization expertise—primarily in R, SAS, and Python—to turn clinical and healthcare data into transparent, production-ready insights. At Roche she progressed from statistical programmer to senior data scientist and now contributes to Denali Therapeutics, bringing deep domain knowledge in clinical workflows and reproducible analysis. Jana is an active contributor to the pharmaverse initiative, helping build an open-source R toolkit to accelerate and standardize clinical data analysis, and she pairs that community work with strong CI/CD and data-communication skills using GitHub Actions, Quarto, and Shiny. Trained in statistics at the University of Toronto, she is a pragmatic problem-solver and collaborator who prioritizes clarity and auditability in regulated environments.
7 years of coding experience
12 years of employment as a software developer
Master of Science - MS Statistics, Master of Science - MS Statistics at University of Toronto
Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials
Contributions:18 reviews, 107 commits, 3 PRs in 3 years 1 month
clinical-trialsclinicaloutputstrialsgraphs
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.