Principal Health Data Scientist

Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve.

As a Principal Health Data Scientist, you serve as an advanced individual contributor leading complex programming, analytics, and statistical modeling work that supports internal and external clients. You partner with research scientists, health services researchers, health economists, clinicians, project managers, business analysts, and data teams to turn large, complex healthcare datasets into actionable insights and scalable solutions. Your work helps solve strategic business problems, strengthen product and research outcomes, and elevate team capability through cross-functional guidance and mentorship. What You'll Do • Lead advanced programming, analytics, and statistical modeling using administrative claims, electronic medical records, and healthcare registry data to generate actionable insights. • Develop and apply complex statistical analyses, hypothesis testing, and modeling approaches to address strategic business problems and support research and product offerings. • Perform advanced SQL-based data extraction, transformation, management, and ad hoc querying across large-scale healthcare datasets. • Create and maintain well-documented source code, algorithms, and analytical methods to support reuse, quality, scalability, and knowledge sharing. • Communicate analytical methods, findings, and recommendations clearly to internal stakeholders and external clients, translating complex results into practical business insights. • Lead and respond to highly complex operational data requests in support of research initiatives, client deliverables, and cross-functional business needs. • Provide quality control, quality assurance, and project review support, offering solution-oriented guidance across project teams. • Partner with Enterprise Data Management, Data Integration, MORE2 Registry®, and iPORT+™ teams to identify, investigate, and resolve data issues while improving efficiency, productivity, and scalability. • Troubleshoot complex production-related data and analytics issues and coordinate effective resolution across teams. • Assist in evaluating data analytics vendors and tools to support team and business needs, while upholding separation of duties and applicable processes and procedures. What You'll Need • 8+ years of professional experience in the healthcare or pharmaceutical industries working with administrative claims data and big data. • Master’s degree in computer science, machine learning, applied mathematics, econometrics, statistics, engineering, physics, or a related discipline, or equivalent combination of education and experience required. • Advanced expertise in programming, analytics, statistics, and analytical modeling for complex healthcare data use cases. • Strong experience working with administrative claims data, electronic medical records, healthcare registry data, and large-scale data environments. • Advanced proficiency in SQL for data extraction, transformation, data management, and ad hoc querying. • Demonstrated ability to document source code, algorithms, and methods for reuse, quality, and scalability. • Experience evaluating data analytics vendors and tools. • Demonstrate growth potential and learning agility by quickly learning new datasets,