Data Scientist II (RWD)

PhD in Statistics, Data Science, or equivalent field. 3+ years of experience as a data/applied scientist or equivalent. Experience working with real-world data of insurance claims and EHR records. Proficient in SQL and R. Strong skills with data clean-up, manipulation, and visualization using tidyverse, ggplot in R or equivalent. Proficient in statistical analysis, especially in survival modelling and hypothesis testing. Experience working in cloud computing environments (AWS preferred). Demonstrated proficiency in summarizing and communicating findings from data. Ability to work effectively in a fast-paced and collaborative environment. Eagerness to learn new technologies and adapt to evolving requirements.

Analyze real-world data to identify patterns for clinical and business cases, including treatment patterns and management costs. Identify key clinical events using CPT, NDC, ICD codes, and structured database free text. Conduct statistical analysis and survival modelling for clinical events. Visualize data findings and summarize them in a coherent story. Support data scientists in developing digital pathology AI models. Work with bioinformatician, statistician, and medical experts on manuscripts.