About the job
Founded in 1998, Inovalon is driven by the conviction that technology—and specifically data—can empower the transformation of the healthcare ecosystem, enhancing both outcomes and economic efficiency. We hold that our customers’ success directly translates to improved healthcare outcomes. Our focus is on equipping clients with data-driven solutions that catalyze this success. Our momentum is steadily increasing.
As one cohesive team, we at Inovalon are dedicated to delivering innovative solutions that tackle the most pressing needs in healthcare. Our mission-driven culture fosters inclusion and creativity, enabling us to add value not only to our clients but also to the millions of patients and members they serve.
Position Overview: The Senior Health Data Scientist will take the lead as a subject matter expert in the execution of complex data extraction, programming, and analytical modeling to support our internal and external clients. This senior role will provide mentorship and assistance to junior staff members. Our team includes specialists such as statisticians, researchers, health economists, clinicians, and project managers who collaboratively create and deliver qualitative and analytical solutions tailored to client needs. We work closely with various product teams and business units, leveraging the full spectrum of our company’s expertise to develop innovative, multi-disciplinary solutions for our clients.
Business Unit: Insights - Health Data Science Team
This team functions as the data authority within the Insights business unit, bridging the gap between product development and engineering. Responsibilities include translating the overarching product vision into detailed logic and algorithm requirements, building prototypes, providing consulting on best practices, and conducting user acceptance testing.
This position will also involve data profiling, investigation, root-cause analysis, and more.
Duties and Responsibilities:
- Lead collaborative efforts with product managers, leads, and owners to extract insights from extensive datasets, including administrative claims, electronic medical records, and various healthcare registries.
- Identify and develop actionable solutions for strategic business challenges using advanced modeling and statistical analysis techniques.
- Employ SQL for advanced data extraction, transformation, and management; thoroughly document and maintain a library of source code and algorithms for future reference.
- Identify, develop, and test...

