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