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.

Overview:  

The Principal Health Data Scientist will lead and serve as subject matter expert in data science, programming, and analytical modeling in support of health economics and real-world evidence (HEOR/RWE) research within Inovalon’s Insights team. This position executes research studies from start to finish, reviewing protocols for methodological appropriateness, building and validating cohorts, performing analysis, and generating insights from administrative claims and EHR data. This is an independent contributor role requiring deep domain expertise and the ability to manage projects with minimal supervision in a fast-paced research environment. 

Duties and Responsibilities: 

• Serve as lead for programming, analytics, and statistics 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. 


• 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. 


• Provide quality control, quality assurance and review for projects where not the lead including solution orientated approaches and mentoring for cross functional training across the functional project teams. 


• Serve as lead when working closely with Inovalon’s Enterprise Data Management, Data Integration, MORE2 Registry®, and iPORT+™ teams to identify, understand, and resolve data issues and improve the efficiency, productivity and scalability of Avalere and Inovalon Product and production 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. 


• We reserve the right to change this job description from time to time as business needs dictate and will provide notice of such. 

Job Requirements: 

• 7 + years of professional experience in healthcare or pharmaceutical industries working with administrative claims data and big data. 


• Excellent SQL programming skills including experience with Snowflake cloud data platform, in addition to working knowledge and experience using statistical analysis tools such as SAS, R, , and/or MatLab. 


• Demonstrated high level 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 excellent 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 and willingness to communicate to technical and non-technical audiences. 


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


• Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues; 


• Superior customer service in the form of first-rate work product and project management. 


• Strong ability to manage challenging client situations. 


• Strong ability to troubleshoot and recommend solutions. 


• Strong ability to translate complex information for a wide range of clients. 

Education: 

• Master’s degree in statistics, applied mathematics, computer science, machine learning, econometrics, engineering,  or related discipline; or equivalent combination of education and experience. 

Physical Demands and Work Environment: 

• Sedentary work (i.e. sitting for long periods of time). 


• Frequently or constantly to lift, carry push, pull or otherwise move objects and repetitive motions. 


• Subject to inside environmental conditions. 


• Travel for this position will include less than 5% locally usually for training purposes.