Senior Health Data Scientist
About the Company
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. We focus on empowering them with data-driven solutions. 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.
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.
- Maintain compliance with Inovalon’s policies, procedures, and mission statement.
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.
- 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.
- 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.
Qualifications
Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Public Health, or a related discipline required; equivalent combination of education and experience will be considered.
Pay
Base compensation range: $120,000—$160,000 USD. This position may be eligible for performance-based incentives.
Benefits
- Health insurance
- Life insurance
- Company-paid disability
- 401k retirement plan
- 18+ days of paid time off
- Additional benefits to support health, financial goals, and work-life balance
Applicants must be authorized to work in the United States; this position is not eligible for immigration sponsorship (e.g., H-1B, TN, or E-3).