Maintain data pipelines for automated data processing suitable for downstream reporting, tabling, and summarizing
Execute and build upon reproducible reports via efficient code for complex tabling and data visualization.
Contribute to internal or external R packages.
Collaborate with Clinical Operations and Data Management teams to understand emerging trial and business needs, assess available data, and determine how to appropriately summarize and present results.

An undergraduate degree, preferably in statistics, data science, computer science, or a related field.
A strong working knowledge of R for data wrangling, analysis, and visualization, and preferably have experience using packages from the Tidyverse ecosystem.
Exposure to version control (git/GitHub).
Knowledge of R Markdown or Quarto.
Passion for data and creating new solutions to empower cancer care and clinical research.

Data Scientist I

Key skills