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Job Purpose
- Analyse and interpret US healthcare claims and insurance plan-level data using SQL and Python to assess prescription patterns, patient treatment journey, prescriber landscape, insurance coverage across the competitor landscape, as well as possible unmet need and market size.
- Provide strategic insights and inform the commercialization and go-to-market strategy for MoonLake.
- Setup and operate analytics infrastructure for MoonLake Commercial across several data sources and platforms.
- Drive additional data and insights related cross-functional projects, such as scientific papers.
- Conduct detailed analysis using secondary real world data sources, including claims or EHR. Ideally familiar with US private and public drug and medical procedure claims data.
- Good knowledge of statistics.
- Support development of other study documents including protocols, analysis specifications, and study reports.
- Ability to create and characterize patient population, build patient cohorts, and define and validate key variables specific to business questions. Conduct detailed analyses of patient cohorts and QC datasets within time and ensure quality standards for a variety of studies.
- Manage and contribute to quality control of programs and automation of data refreshes.
- Communicate timelines, progress reports, and results to key stakeholders.
- Ability to create dashboards preferred but not essential (PowerBI).
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