About the company
HealthVerity synchronizes transformational technologies with the nation’s largest healthcare and consumer data ecosystem to power previously unattainable outcomes and fundamentally advance the science. We offer a comprehensive, yet flexible approach, based on the foundational elements of Identity, Privacy, Governance and Exchange (IPGE), that synchronizes unparalleled Identity management with built-in Privacy compliance and Governance, providing the ability to discover and Exchange a near limitless combination of data at a record pace. Together with our partners in life sciences, government and insurance, we are Synchronizing the Science. To learn more about HealthVerity, visit healthverity.com.
Job Summary
What you will do
📍Efficiently query multiple data types (medical and pharmacy claims, EMR, lab, chargemaster) using SQL to identify populations of interest in HVM data and assess using univariate analysis and data investigations 📍Empower clients to generate RWE utilizing best-in-class observational research by conducting pre-sale feasibility analyses of varying breadth and depth 📍Provide clients with RWD training, analytic guidance, and use case support in the post-sale phase 📍Develop and communicate technical, clinical, operational, and business specifications to internal and external teams 📍Work cross-functionally with sales and data delivery teams to support operational processes to deliver data licensing projects on time and with accuracy 📍Contribute to the development and maintenance of internal documentation, code templates, analytics automation, and other process improvement initiatives to support internal team efficiency, effectiveness, and growth
How success will be defined
📍Creatively and strategically position HealthVerity to win against the competition by building trust and credibility as a subject matter expert (SME) 📍Take ownership of pre- and post-sale projects and drive to completion 📍Dedicate 5-10% of working hours to team and individual improvement 📍Ensure minimal errors in presales feasibility and data requirements for delivery
