Senior Data Analyst - Oncology, Real World Solutions
- Lead development of statistical programs and conduct analyses using oncology-specific secondary real world data sources, including claims, EHR, HEOR, and genomic data.
- Support development of other study documents including statistical analysis plans, analysis specifications, and study reports
- Assess the feasibility of using real-world data sources to characterize patient populations, build patient cohorts, and define and validate key variables specific to study objectives.
- Plan and program the integration of data from multiple sources.
- Conduct analyses to characterize patient cohorts and QC datasets within time, budget, and quality standards for a variety of real-world studies.
- Manage and contribute to quality control of programs and automation of data refreshes.
- Communicate timelines, progress reports, and results to project team and key stakeholders.
- Provide technical, programming, and statistical expertise and independently bring project solutions to team for complex studies.
- Closely collaborate with epidemiologists and other scientists to develop and refine data management and analytic procedures, code lists, and workflows
- Master's Degree in Biostatistics, Epidemiology, Data Science or related field with 5-8 years relevant experience or PhD with 2 years of relevant experience required.
- Knowledge of statistics, programming, and real-world studies
- Prior programming experience using Flatiron Health data required.
- Prior experience programming oncology-specific methodologies, including deriving lines of therapy and conducting survival analyses.
- Intermediate to advanced knowledge of SAS preferred, R acceptable.
- Good organizational, interpersonal, and communication skills
- Ability to effectively manage and prioritize multiple tasks and projects.
- Excellent accuracy and attention to detail.
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