About FAIR Health
FAIR Health, Inc., a national, independent nonprofit organization, was established in October 2009 with the mission to help assure fairness and transparency in health insurance information. FAIR Health has created a database of over 45 billion de-identified private healthcare claim records-the largest in the country-which receives claims monthly and which serves as the foundation for a variety of data products, custom analytics and consumer tools. FAIR Health has also been certified by the Centers for Medicare & Medicaid Services as a 'Qualified Entity' and thus holds the entire collection of Medicare Parts A, B and D claims from 2013 to the present, which get routinely refreshed.
Our standard data modules, custom analytics and technological tools serve all participants in the healthcare sector nationwide; they are licensed to payors, third-party administrators, bill review companies, self-insured employers, government agencies, academic researchers and consultants. Our medical and dental data are used to inform statutes and regulations, healthcare cost indices, fee schedules, benefit and provider network design, practice/facility expansion, health systems research and dispute resolution, among other uses. We also offer a suite of consumer-oriented tools and resources available on our consumer website (fairhealthconsumer.org), as well as a mobile application, which can be licensed by other organizations.
Summary of Position
The Senior Statistical Data Scientist is an integral member of a collaborative custom analytics team that comprises experts from diverse healthcare backgrounds. This individual will be responsible for supporting the development of client products by translating business requirements into data-driven deliverables and analyses. The individual will collaborate with clients to design and develop requirements for review and design, develop and execute solutions using FAIR Health's assets. Additionally, the individual will participate in client-facing project meetings. The custom analytics team caters to a wide-ranging client base that includes payors, government agencies, consultants, hospital systems and other stakeholders in healthcare.
The Senior Statistical Data Scientist will work with many different types and sources of healthcare data, including claims data, census data, epidemiological data and public health data. This person will have a general understanding of healthcare claims data and a working knowledge of coding (ICD, HCPCS, CPT� etc.). This individual will also have a strong analytic background and experience working with healthcare data. This person will develop reports and analyses that identify results and translate those results into informative, actionable descriptions and visualizations.
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