Data Scientist

• Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members
• Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery
• End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation
• Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc.
• Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions
• Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures
• Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence

Senior Principal, R&D Data Science, Digital Health, Real-World Evidence Statistics

Data Science & Analytics Director

Data Scientist, Agentic AI – Insurance Underwriting

Data Scientist, ML – Insurance Underwriting

Senior Data Scientist, Agentic AI – Insurance Underwriting

Senior Data Scientist, ML – Insurance Underwriting