Senior Health Data Scientist
New
I
InovalonHealthcare Technology
Remote- United StatesFull-TimeSenior
Salary$120,000 — $160,000 USD
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Job Details
- Experience
- Minimum 5 years of professional experience in healthcare or pharmaceutical industries working with administrative claims data
- Required Skills
- Project ManagementSQLSnowflakeRData analytics
Requirements
- Minimum 5 years of professional experience in healthcare or pharmaceutical industries working with administrative claims data
- Master’s degree in Computer Science, Machine Learning, Applied Mathematics, Econometrics, Statistics, Engineering, Public Health, or a related discipline
- Strong SQL programming skills
- Working knowledge of and experience using statistical analysis tools including SAS and R
- Experience with Snowflake (strongly preferred)
- Strong understanding of resolving data issues with a logical, instinctive, and problem-solving mentality
- Business analytical skills including process flows, procedures, spreadsheets, and modeling
- Demonstrated project management skills with ability to work independently on multiple projects
- Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques
- Strong written and verbal communication skills; ability to communicate to both technical and non-technical audiences
- Ability to work under minimal supervision in a fast-paced multidisciplinary environment
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
- 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 utilizing statistical tools such as SAS and R
- Assist with the evaluation of data analytic vendors and tools
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