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West Bloomfield Township

    Data Science Advisor - Bloomfield, United States - The Cigna Group

    The Cigna Group
    The Cigna Group Bloomfield, United States

    2 weeks ago

    Default job background
    OTHER
    Description
    The job profile for this position is Data Science Advisor, which is a Band 4 Senior Contributor Career Track Role.

    Excited to grow your career?

    We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply

    Our people make all the difference in our success.

    Summary

    The Data Science Advisor - Clinical Outcomes Research position is an opportunity to provide leadership on complex analytics projects and initiatives supporting the Integrated Pharmacy and Specialty Analytics team. This role will work with an innovative team on setting and executing the vision for how advanced embedded analytics can lead Cigna to achieving our growth goals.

    We are looking for a Data Scientist to conduct opportunity analyses, program evaluation and support Pharmacy Therapeutic Class Strategy/Clinical Condition analytics work to drive business decisions supporting Cigna's Pharmacy Integrated Medical business. The candidate will have the opportunity to work on analytical projects supporting other benefit domains such as Behavioral Health and Specialty Solutions with the goal of performing Integrated Analytics to support the enterprise.

    Responsibilities

    • Work collaboratively with Rx Clinical stakeholders to advise on strategic analytics that helps drive data decision making to support formulary strategy, clinical program strategy and clinical product design
    • Lead analyses related to Cigna's Total Cost of Care Strategy with a focus on clinical conditions and related medications/treatment (root cause analyses, Health Outcome Studies, Opportunity analysis including descriptive and multivariate statistics to identify patterns in the data.)
    • Perform Causal inference Studies, Matched-case control studies and/or randomized control trials for determining the effectiveness of clinical programs and clinical outcome studies
    • Execute and apply advanced analytics techniques to evaluate and inform initiatives that will help achieve improved affordability and drive membership growth
    • Analytical/Synthesizing of large volumes of data into meaningful information that is communicated effectively to drive meaningful conclusions that help make informed decisions and future projections/recommendations
    • Determine opportunities and identify solutions to increase analytical processing efficiency
    • Extraction and analysis of large healthcare claims data using state of the art big-data tools and techniques in a largely tool agnostic environment
    • Build models using machine learning tools and various statistical packages
    • Explore and visualize data using advanced tools and libraries

    Qualifications

    • 5+ years' of industry experience in solving Health Plan or Pharmacy Benefit Manager business problems through the application of advanced analytic approaches
    • Proven experience and competency with predictive analytics and forecasting future state needs is highly desirable
    • Proven experience building clinical outcome studies and presenting the findings in a clear and comprehensive manner to an non-technical audience is highly desirable
    • Experience in Healthcare analytics (preferably PBM Analytics), Clinical Outcomes, Real World Evidence, Care Management Programs
    • Deep healthcare data experience (e.g., PBM experience, Provider Networks, Billing, Medical and Pharmacy claims), statistical analysis experience, and an understanding of all the associated clinical, utilization and financial levers
    • Experience with statistical software/programming languages; R preferred
    • Experience with data visualization tools and libraries; Tableau and/or PowerBI preferred
    • Demonstrated ability to understand and effectively communicate (both verbally and written) analytic and clinical data (i.e., claims) to a varied audience
    • A data-driven personality w/ Intellectual curiosity and internal motivation; uses deep analytics knowledge and acumen to advise functional leaders and provide thought leadership
    • BS/MS/PhD in Econometrics, Actuarial Science, Data Science, Health Outcomes, Epidemiology, Statistics, or in any technical field that provides a solid basis for analytics highly desired
    If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.For this position, we anticipate offering an annual salary of 102, ,000 USD / yearly, depending on relevant factors, including experience and geographic location.

    This role is also anticipated to be eligible to participate in an annual bonus plan.

    We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna.

    Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

    Please note that you must meet our posting guidelines to be eligible for consideration. Policy can be reviewed at this link.

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