Duties and Responsibilities

• Designs and develops programs for complex claims or EHR data analysis and reporting activities.
• Applies technical and analytical expertise to develop and implement solutions for use on claims or EHR projects leading to increased efficiency and quality.
• Led the coordination and execution of RWE projects including RWE analytics to address medical gaps within Global Integrated Evidence Generation Plans (IEGPs).
• Uses SAS, SQL, or other programming skills to create analytical datasets from health care claims, electronic health records, surveys, and other data sources by following protocols and statistical analysis plans.
• Constructs outcome measures and other analytical variables through data cleaning and data manipulation.
• Generate RWE-based insights on pipeline assets to drive global commercial strategies.
• Ensure the optimal combination of RWD/E methodologies and analytics along with AI/ML and Digital solutions are being leveraged to deliver on high-value use cases/problems.
• Generates descriptive tables, figures, etc. based on the desired format using SAS and analytical reports.
• Managing a small team of programmers conducting statistical analysis using SAS, R, Python, or database programming (SQL).

Qualifications/Skills

• Minimum 12 years of experience in RWD and RWE.
• Experienced with RWE for both clinical and post-clinical/commercialization.
• Good understanding of all the phases of clinical trials.
• Provide deep technical expertise to develop the design and delivery of projects using real-world data.
• Solid hands-on experience with SAS, SQL, data analytical tools, data concepts and architecture, data lake, data mesh, and data warehousing.
• Knowledge of medical affairs, scientific affairs, and HEOR is preferable.
• Excellent communication and collaboration skills.

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