Job Description

Company: The mission of Well ( ) is to transform healthcare through our unique impact to our members' health and happiness. We do this through our differentiated consumer experience and world-class data and analytics engine that drive engagement and behavior change. Our product -- a consumer health engagement platform -- integrates concierge services, behavioral health, telemedicine, care management and wellness services to drive sustained engagement, lower costs and improve the health of members. In addition to our product, we know our team makes us unique. We’re a highly diverse and engaged organization whose employees are passionate about the mission of the company and whose management is passionate about the employees. We promote an employee- and member-centric culture with generous benefits, which you can learn more about here: . Position Title: Data Scientist (Health Outcomes) Reporting to: Vice President, Health Outcomes Location: Chapel Hill, NC; Newton, MA or Minneapolis, MN; New York, NY Compensation: $125,000 - $145,000 (Data Scientist 3 - Senior Data Scientist 1), depending on qualifications, plus bonus potential and benefits Position Summary: We’re looking for a Data Scientist to join our Health Outcomes and Business Intelligence team. As a member of this team, you will be responsible for building and maintaining our data infrastructure for analyzing healthcare costs using administrative claims data. You will maintain industry standard healthcare analytics tools as well as develop innovative techniques for surfacing insights and opportunities. Key Responsibilities: Develop infrastructure to continuously monitor trends and identify opportunities in healthcare costs via administrative claims data using machine learning, business intelligence tools, statistics and artificial intelligence Apply classification systems (e.g. NYU non emergent algorithm) and tools to administrative claims data to leverage and scale existing data and generate insights Synthesize qualitative and quantitative information from administrative claims data, in addition to a wide range of disparate data sources including product data, academic literature, clinical trial results, and market research Collaborate with cross-functional teams to contribute to and meet business objectives Take personal responsibility for keeping all Well systems and data, including sensitive member data, secure and safe, according to Well data and security policies and HIPAA guidelines Preferred Qualifications: Work/industry experience in healthcare analytics, real world evidence, or related field developing infrastructure and leveraging administrative claims data to generate insights from complex healthcare data Knowledge of administrative claims data (CPT codes, ICD-10 codes), healthcare costs, and healthcare field Advanced SQL skills with experience standardizing queries and building data infrastructure involving large-scale relational datasets Knowledge of software engineering best practices like version control, naming conventions, and continuous integration to the analytics code base Experience with analytic tools/programming languages (R, Python, Stata) and working knowledge of statistics, causal inference, and machine learning Ability to organize, prioritize, plan, and execute multiple work streams concurrently and across teams Great communication and collaboration skills. Ability to communicate technical concepts to non-technical audiences. Additional Job Information Well is on a mission to redefine the healthcare experience. This is an opportunity to re-shape healthcare for America. We are developing solutions to improve the quality and affordability of healthcare. We welcome team members who are passionate about that mission. We embrace diversity and are committed to building an inclusive team. All qualified applicants will be eagerly considered for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. #J-18808-Ljbffr Well

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