A Master’s degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programming experience using healthcare data.
Must have hands-on RWD/RWE experience with CMS data, large-scale administrative claims data sources (e.g., MarketScan, Optum, Medicare LDS SAF, Komodo claims), and EHR
Advanced programming capacity in R (R Shiny) with proficiency in SAS
Proficiency with common statistical methods, such as survival analysis, generalized linear models
Prior experience working on oncology projects is preferred
Ability to effectively communicate methods and findings