Curriculum Vitae
Ryan Harrison
Data Scientist · Biostatistician
Profile
Principal biostatistician and data scientist working across clinical development, real-world evidence, statistical modeling, and analytical application development. I combine statistical work with R/Shiny development, reusable packages, reproducible workflows, and software engineering practices.
Experience
Principal Biostatistician — Syneos Health
My work focuses on modular R/Shiny applications, reusable packages and components, application-development standards, testing, CI/CD, Posit deployment, and exploratory analysis of clinical-trial data.
Previous organizations
- Arcus Biosciences
- Biogen
- CorEvitas
- New England Research Institutes
Education
MS in Statistics
University of Massachusetts Amherst
BA in Mathematics
Boston University
Statistical focus
Clinical trials · Real-world evidence · Claims · Longitudinal analysis · Survival analysis · Causal inference · Mixed-effects models · Missing data · Machine learning · Simulation · Statistical visualization
Software focus
R · Python · Shiny · Package development · Dashboards · Analytical pipelines · Testing · Code review · Reproducible environments · CI/CD · Deployment · Quarto
Selected technologies
Primary: R · Shiny · tidyverse · data.table · survival · plotly · gt · gtsummary · targets · bslib · golem · Rhino · testthat · shinytest2 · renv · pre-commit · Quarto · Posit Connect
Additional experience: Python · Bash · SQL · GitHub · GitHub Actions · Polars · DuckDB · Arrow · Docker · Linux · AWS · S3 · BigQuery · Databricks · Rust