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A company is looking for a Principal Data Scientist, Causal Modeling.

Key Responsibilities:

Be a technical authority, hands-on leader, and mentor in the design, development, and utilization of causal models
Combine understanding of the biopharmaceutical/healthcare and AI/data/technology landscapes to fuel innovation
Translate scientific/clinical/medical/business problems into analytical solutions

Required Qualifications:

Doctorate, Master’s, Bachelor’s, Associate’s degree, or High school diploma with relevant Data Science experience
Graduate degree in a quantitative or life-science subject area
5+ years of experience in the design, development, and tangible use of causal models
Expert understanding of causal diagrams and directed acyclic graphs
Experience in biopharma research or clinical applications with biomedical and healthcare data

Apply NOW

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