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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.
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.