Senior Health Data Scientist

About this role

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.

Overview:

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 research scientists, health service 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 practices, applying the full scope of the firm’s knowledge base to the development of multi-disciplinary, creative solutions on behalf of our clients.

Duties and Responsibilities:

• Serve as lead when working collaboratively with teams of health services researchers and business analysts 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;

• Leverage SQL and Snowflake 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;

• Respond to and lead highly complex operational data requests and create ad-hoc queries to support research projects utilizing statistical tools such as SAS and R;

• Assist with the evaluation of data analytic vendors and tools;

• Adhere to all confidentiality, HIPAA, regulatory, and other such policies, procedures, and requirements as outlined within Employer’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 scope of work;

• Maintain compliance with Inovalon’s policies, procedures and mission statement, and fulfill those responsibilities and/or duties that may be reasonably provided by Inovalon for the purpose of achieving operational and financial success.

Job Requirements:

• Minimum 5 years of professional experience in healthcare or pharmaceutical industries working with administrative claims data;

• Strong SQL programming skills required; experience with Snowflake strongly preferred;

• Working knowledge of and experience using statistical analysis tools including SAS and R required;

• Demonstrated problem-solving, analytical reasoning, and decision-making skills;

• Strong understanding of and experience resolving data issues with a logical, instinctive, and problem-solving mentality when working with large, complex, and incomplete data sources;

• Business analytical skills including process flows, procedures, spreadsheets, and modeling, with a 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 verbal communication skills in IT and business environments; ability to communicate to both technical and non-technical audiences;

• Ability to work under minimal supervision in a fast-paced multidisciplinary environment;

• Advanced knowledge of healthcare, health policy, pharmaceutical, and related issues.

Education:

• Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Public Health, or a related discipline required;

• Equ