Found Description
Responsibilities
- 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 modeling for clinical events defined from real-world data
- Visualize findings and summarize them into coherent stories
- Support data scientists in developing digital pathology AI models
- Partner with bioinformaticians, statisticians, and medical experts on manuscripts
Requirements
- PhD in Statistics, Data Science, or equivalent field, or Master's with 4+ years of relevant post-graduate experience
- Experience working with real-world data from insurance claims and EHR records
- Expert proficiency in SQL and R
- Strong skills in data clean‑up, manipulation, and visualization using tidyverse and...