QUALIFICATIONS

• 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 .
• Intermediate 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.

• Lead development of statistical programs and conduct analyses using secondary real world data sources, including claims, EHR, HEOR, and genomic data.
• Support development of other study documents including protocols, analysis specifications, and study reports
• Lead the feasibility of real-world data sources to characterize patient population, 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