Sr. Data Scientist, Outcomes Research
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The role
Lead the design, analysis, and interpretation of real-world pharmacoepidemiology studies in collaboration with pharma, academic partners, and internal teams.
Translate research findings into clinically actionable insights and contribute to publications and regulatory submissions as appropriate.
Tackle complex problems by selecting and adapting advanced methods while staying current with methodological advances in real-world evidence.
Build robust data infrastructure and reusable code; ensure compliance with regulations and company procedures.
Demonstrate strong data manipulation, statistical analysis (Python/R/SAS, SQL), and clear communication of results.
Work in interdisciplinary teams to design studies, present results to stakeholders, and drive data-driven decision making.
Translate research findings into clinically actionable insights and contribute to publications and regulatory submissions as appropriate.
Tackle complex problems by selecting and adapting advanced methods while staying current with methodological advances in real-world evidence.
Build robust data infrastructure and reusable code; ensure compliance with regulations and company procedures.
Demonstrate strong data manipulation, statistical analysis (Python/R/SAS, SQL), and clear communication of results.
Work in interdisciplinary teams to design studies, present results to stakeholders, and drive data-driven decision making.
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