Analyze real-world data to identify patterns for various clinical and business cases, including treatment patterns and management costs.
Participate in Identifying key clinical events, such as cancer progression and treatments, using CPT, NDC, ICD codes, and structured database free text.
Conduct statistical analysis and survival modeling for clinical events defined from real-world data.
Ability to visualize findings from the data and summarize them in a coherent story.
Support data scientists in developing digital pathology AI models
Partner closely with bioinformaticians, statisticians, and medical experts in manuscripts.

PhD in Statistics, Data Science, or equivalent field. Or Master of 4+ years of relevant post-graduate experience
Experience in working with real-world data of insurance claims and EHR records
Expert in SQL and R or equivalent
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 and attention to detail 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.

Data Scientist III

Key skills