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Teva is seeking lead statistical support for real-world evidence initiatives within its product portfolio, focusing on observational research using real-world data.
Design and analyze observational studies, develop and review statistical analysis plans, evaluate RWD sources, apply advanced methods including AI/ML, and clearly communicate findings to diverse stakeholders.
Requirements include a PhD (2+ years) or MS (4+ years) in Biostatistics and proficiency in R, SAS, or Python.
Role: Lead statistical support for real-world evidence (RWE) initiatives within Teva's innovative product portfolio, focusing on observational research using real-world data (RWD).
design and analyze observational studies, develop and review statistical analysis plans, evaluate RWD sources, apply advanced methodologies including AI/ML, and communicate findings to diverse stakeholders.
PhD (2+ years) or MS (4+ years) in Biostatistics, Statistics, or related field; proficiency in R, SAS, or Python; experience with large RWD databases and observational study design; strong knowledge of confounding and bias mitigation.
HighValue: RWE, observational study design, large claims/EHR data, advanced analytics, cross-functional collaboration, regulatory insights.
WorkSetup: not specified;
salary range $133,600-$167,000, with comprehensive benefits.