Associate Director, Real World Evidence (RWE) Analytics

Main Responsibilities

• Assess study feasibility in a variety of data sources available for analysis, including new or less familiar data
• Propose and conduct exploratory analyses that allow deep understanding of a data source at hand (e.g., ability to generate insights and visualize output that allows researchers to make decisions about study feasibility and study design)
• Analyze data based on provided definitions using traditional programming or other digital applications
• Review relevant literature for methods, lists of codes or validated algorithms
• Create statistical analyses plans and table shells from study protocols
• Analysis of data using traditional programming or other digital applications
• Development of algorithms, such as lines of therapy for oncology
• Traditional modeling approaches, including regression and time to event analyses
• Reporting of the results in form of study tables, dashboards or slide deck
• Communicating results to stakeholders

About You

• Education: BA/BS + 5 years of relevant experience OR MS/PhD + 3 years of relevant experience
• Academic training in the areas of mathematics, statistics/biostatistics, statistical programming, observational research, epidemiology, health economics, or a related quantitative field (preferred)
• Experience programming in R, Python, and SQL
• Working knowledge of statistical methods
• Experience applying epidemiological methods
• Experience analyzing multiple sources of secondary patient data (e.g., electronic medical records, administrative claims)