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Key Duties and Responsibilities:
• Executes on statistical analysis plans
• Checks other analyst’s work to ensure quality
• Evaluate and provide input to database selection, patient population selection and statistical analysis plans
• Support database management and optimization
• Develop tools to improve and automate RWD analytic work
• Develop applications in data visualization and dashboard
• Participate regular project meetings with the project manager, research stakeholders, and project team members at the agreed-upon schedule and frequency
Knowledge and Skills:
• 4 years SAS programming experience is required (preferred 5 plus); other programming skills such as, SQL, R, Python, Matlab, html are preferred
• Experience working with large databases is required. Experience working with AWS is preferred
• Knowledge of US healthcare system, health insurance billing/claims data, and electronic medical record data
• Familiarity with data analysis methods, data management, and data visualization
• Skills of data visualization and knowledge of dashboard creation using tools such as Tableau, Power BI, is preferred.
• Attention to detail is critical, as is adhering to standards and procedures
• Good organizational and written/verbal communication skills required
• Ability to work effectively in a constantly changing, fast-paced, diverse, and matrix environment
• Ability to multitask; strong work ethic and a “can-do” mentality
Education and Experience:
Master’s or PhD in epidemiology, biostatistics, math, data science, or similar disciplines required.
Minimum 4 years of experience working in observational research within the life sciences industry or relevant academic, government, or consulting environment