A company is looking for a Principal Biostatistician to advance the use of large language models in healthcare data analysis.
Key Responsibilities
Lead the design and execution of statistical evaluation strategies for AI and clinical models
Develop and apply advanced statistical methods to evaluate model performance and bias using real-world data
Communicate statistical insights and evaluation results to various stakeholders, influencing model improvement and adoption
Required Qualifications
Master's or Ph.D. in Biostatistics, Mathematics, Epidemiology, Health Economics, Data Science, or related field
7+ years of applied statistical experience with EHR and / or claims data
Strong programming skills in R and SQL; experience with Python, PySpark, or Databricks is a plus
Proven expertise in working with structured health data using medical ontologies
Experience with statistical methods to evaluate performance metrics, agreement, reliability, error, and bias
Biostatistician • Cranston, Rhode Island, United States