Lead Data Scientist – Clinical Program Evaluation and Strategy

Innova People

Lead Data Scientist – Clinical Program Evaluation and Strategy

New York, NY
Full Time
Paid
  • Responsibilities

    Remote Lead Data Scientist – Clinical Program Evaluation and Strategy

    One of our clients is a large Integrated Delivery System who is developing value- based models of reimbursement and care delivery. This initiative is focused on Population Health, ACO, and direct to Employer models.
    To support these strategies, we are hiring an analytics team comprised of talented analysts and data scientists that are passionate about developing a true system of care that creates value for our customers and patients.

    Roles & Responsibilities:
    • You will design and implement data-driven insights to enable value-based contracts and commercial offerings. You will support the contract lifecycle from initial development and planning, through pre-sale and implementation, to reconciliation.
    • During planning phase: analyze variance to identify opportunities and risks; develop pro-forma scenario models of contracts and terms; create reports to guide negotiations with prospects
    • During implementation: forecast performance results and support client-specific areas of interest
    • During reconciliation: measure performance of our products across financial, patient satisfaction, and quality outcomes. Apply performance evaluation that fulfills contract terms and, when appropriate, the demands of rigorous outcomes research methodology.
    • Work with departmental staff to identify requirements for reporting and / or business intelligence tools.
    • Identify necessary data and methodologies; collect, integrate, analyze and interpret data.
    • Leverage advanced statistical analysis methods to create insightful recommendations and conclusions that you effectively communicate to your stakeholders.
    • Identify and address expected and unforeseen data complexities to mitigate their impact on the analytic outcome and associated business decisions. Clearly communicate data issues to the recipients and work to improve data quality where possible within the analytical models you create. Feed data quality issues back to IT to assist in our quest for high quality data.
    • Develop and present reports, analyses and findings to senior management and others as scheduled or requested.
    • You will engage with the Managed Care Contracting and Commercialization teams and interface with key leaders in our care management and clinical service lines.
    • Act as liaison/analyst for internal stakeholders, understand their needs and translate them into reporting and analytic solutions.
    Requirements:
    • Minimum of BA/BS degree in a relevant field of study; Master’s degree preferred.
    • At least five (5) years of analytics development experience for a health provider, health plan or accountable care organization including:
    • Experience working in a health plan and/or Health Delivery System focused on medical economics
    • Experience working in healthcare provider analytics related to managed care contracting, population management, clinical or financial decision support
    • Strong data mining skills using tools like SQL, R, Python, SAS, etc.
    • Strong analytical skills, with the ability to perform complex analysis and make recommendations based on statistical inferences. Experience with a wide variety of analytical or statistical methods.
    • Strong working knowledge of Business Intelligence products (Tableau, SAS, MicroStrategy, etc.)
    • Excellent oral and writing skills; ability to communicate effectively with varying audiences.
    • Demonstrated ability to articulate goals, plan and implement processes to achieve those goals, recognize and assess the implications of confounding variables, and meet deadlines.
    • Advanced interpersonal (e.g., mediating, mentoring, teaching) skills required to service internal and external clients effectively.
    • Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing complex techniques or programs in a dynamic environment.