Sr. Data Scientist, Outcomes Research
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职位介绍
Lead design and execution of pharmacoepidemiological studies using real-world data in collaboration with pharma, biotech, and academic partners.
Represent the Outcomes Research function in study design, analysis, interpretation, and publication, translating results into actionable client insights.
Tackle large, ambiguous problems with robust statistical methods and build reusable code and scalable analytics infrastructure.
Stay current with real-world evidence methodologies, including time-to-event analyses, prognostic/predictive modeling, and oncology-related analyses.
Collaborate across interdisciplinary teams to translate research into clinically meaningful deliverables and support regulatory and publication needs.
Demonstrate strong communication, initiative, integrity, and the ability to present complex results clearly to study teams and stakeholders.
Represent the Outcomes Research function in study design, analysis, interpretation, and publication, translating results into actionable client insights.
Tackle large, ambiguous problems with robust statistical methods and build reusable code and scalable analytics infrastructure.
Stay current with real-world evidence methodologies, including time-to-event analyses, prognostic/predictive modeling, and oncology-related analyses.
Collaborate across interdisciplinary teams to translate research into clinically meaningful deliverables and support regulatory and publication needs.
Demonstrate strong communication, initiative, integrity, and the ability to present complex results clearly to study teams and stakeholders.
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