Senior Statistical Data Scientist

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.

Primary Responsibilities

• Work with clients to design and develop solutions for complex healthcare analyses.
• Work closely with the FAIR Health team to structure and present client results and analyses.
• Understand and work with healthcare claims data to identify trends and other salient information and to bring value and actionable results.
• Use various healthcare and statistical methodologies and also create reports and analytics that reflect actionable, value-infused information based on the results.
• Evaluate and establish the validity of data and data element combinations to assure accuracy and completeness of all reporting results.
• Observe information security policies and HIPAA guidelines of conduct to ensure the privacy and security of nonpublic information.

Knowledge and Skill Requirements

• Master’s degree or higher in Statistics, Analytics or Public Health with a strong quantitative emphasis.
• Experience working with and an understanding of advanced statistical modeling, including generalized linear models.
• 5+ years’ experience working with healthcare data and performing reporting and analytics for internal and external audiences.
• Demonstrated advanced problem-solving skills, including in-depth data research on the drivers of healthcare cost and utilization. Must understand the resources and processes needed to construct analysis to understand how to navigate to resolution.
• A strong working knowledge of healthcare coding (CPT, ICD, HCPCS, revenue codes, DRG).
• A strong understanding of the current healthcare market space and dynamic.
• Strong interpersonal skills.
• Strong presentation skills.
• Excellent written and verbal communication skills.

Location: Ability to work from our New York City office or remote.

Interested candidates should submit their resume here.

Salary $110,000 – $130,000

FAIR Health, Inc., is an equal opportunity employer and is an E-Verify participant.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.

FAIR Health offers a competitive compensation package and includes the following benefits: Medical, Dental, Vision, Flexible Spending and Dependent Care Accounts, Life and Disability Insurance, Paid Time Off, Paid Holidays, 401(k) and Discretionary Bonus.

https://recruiting.myapps.paychex.com/appone/MainInfoReq.asp?R_ID=6128961

Job Type: Full-time

Benefits:

• 401(k)
• Dental insurance
• Employee assistance program
• Flexible spending account
• Health insurance
• Paid time off
• Vision insurance

Experience level:

• 5 years

Application Question(s):

• Are you at least 18 years of age?
• Do you now, or in the future, require sponsorship?
• How much notice do you need to provide to your current employer?

Work Location: Remote