Senior Health Data Scientist; Data

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.

The Senior Health Data Scientist will lead and serve as subject matter expert to highly complex data extracts, programming, and analytical modeling capabilities in support of the team's services to internal and external clients. The Senior position provides guidance and support as needed to junior staff. The team consists of staff with specialized experience, such as statisticians, researchers, health economists, clinicians, and project managers, who conceptualize, execute, and deliver qualitative, analytical, and strategy-based work products for clients.

We also work closely with other product teams and business units, applying the full scope of the company's knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients.

This team is the data subject matter expert within the Insights business unit. Their role is to support teams across the organization to bridge the gap between product and engineering. Assist with translating the high-level product vision from the product lead by:

This also involves data profiling, data investigation, root-cause analyses, etc.

• Serve as lead when working collaboratively with product leads, managers, and owners to draw insight and intelligence from large administrative claims datasets, electronic medical records, and various healthcare registry datasets;
• Identify and develop solutions that can be implemented to key strategic business problems using high-level modeling and statistical analyses techniques;
• Utilize SQL to perform advanced-level data extraction, transformation and data management; fully document and manage library of source code and algorithms for future use;
• Identify, develop, and test hypotheses in support of research and product offerings, and communicate findings in a clear, precise, and actionable manner to our clients;
• Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects;
• Serve as lead when working closely with Inovalon's Enterprise Data Platform teams to identify, understand, and resolve data issues and improve the efficiency, productivity, and scalability of the company's data processes;
• Troubleshoot complex production-related issues and coordinate successful resolution;
• Assist with the evaluation of data analytic vendors and tools;
• Maintain compliance with Inovalon's policies, procedures and mission statement;
• Adhere to all confidentiality and HIPAA requirements as outlined within Inovalon's Operating Policies and Procedures in all ways and at all times with respect to any aspect of the data handled or services rendered in the undertaking of the position;
• Fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success of the Company;
• Uphold responsibilities relative to the separation of duties for applicable processes and procedures within your job function; and
• We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such.

• 5 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and electronic medical records;
• Strong SQL programming skills in addition to working knowledge and experience using statistical analysis tools such as SAS, R, and Python;
• Demonstrated problem solving, analytical reasoning, and decision-making skills;
• Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex, and incomplete sources;
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.) and good understanding of design and architecture principles;
• Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines;
• Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques;
• Strong written and…