• EA Outcomes Specialist

    AmeriHealth Caritas {"Country":"US","IsEmpty":false}

    Job #2314103871

  • EA Outcomes Specialist

    Location: Remote, United States

    Primary Job Function: Strategic Planning & Execution

    ID**: 25170

    Your career starts now. We're looking for the next generation of health care leaders.

    At AmeriHealth Caritas, we're passionate about helping people get care, stay well and build healthy communities. As one of the nation's leaders in health care solutions, we offer our associates the opportunity to impact the lives of millions of people through our national footprint of products, services and award-winning programs. AmeriHealth Caritas is seeking talented, passionate individuals to join our team. Together we can build healthier communities. If you want to make a difference, we'd like to hear from you.

    Headquartered in Philadelphia, AmeriHealth Caritas is a mission-driven organization with more than 30 years of experience. We deliver comprehensive, outcomes-driven care to those who need it most. We offer integrated managed care products, pharmaceutical benefit management and specialty pharmacy services, behavioral health services, and other administrative services. Discover more about us at ~~~ .


    Under the leadership of the Manager Outcomes Evaluation, the Outcomes Specialist is responsible for evaluating internal clinical programs and developing predictive models to guide evidence-based population health management practices. This team will conduct advanced statistical analyses and develop predictive models based on complex operational, economic and statistical data to quantify the competitive performance of business segments, calculate return on invest (ROI), evaluate potential operational changes, and design new approaches and methodologies. Prepare and assist with the Sr Outcomes Specialist in evaluation with results in a manner that's accepted by a diverse group of stakeholders.

    • Support corporate, plan-level, and departmental strategies and goals by effectively applying both business knowledge and technical expertise to develop and implement data-driven solutions.

    • Extract and summarize data to develop predictive populations for program enrollment.

    • Conduct statistical analyses to compare performance amongst business segments.

    • Calculate return on invest (ROI), evaluate potential operational changes.

    • Assist with designing new approaches and methodologies.

    • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.

    • Collaborate across multiple corporate areas to understand workflows, document processes and ensure highest quality product delivery.

    • Work on a fast paced team, with minimal direction focusing on understanding the application/product/area in detail, while delivering high-quality outputs and actionable solutions.

    • Perform other duties as assigned by Management.


    • Bachelor's Degree in applied statistics, computer science, mathematics, epidemiology, sociology, or economics.

    • Master's Degree in applied statistics, computer science, mathematics, epidemiology, sociology, or economics preferred.

    • Experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.

    • 3-5 years' experience of outcomes analyses and predictive modeling design and implementation in health care field.

    • Advanced Data Science skills in Python, R, Scala, PySpark, Databricks, SAS, Tableau, Power BI or related tools.

    • Knowledge of relevant statistical analyses and methodologies include but are not limited to generalize linear regression, logistic regression analysis, repeated measure analysis, survival analysis, cluster analysis, time-series analysis, decision tree, neural networks, and other machine learning techniques.

    • Knowledge and skill in adapting analytical techniques and evaluation criteria to the measurement and improvement of organizational productivity.

    • Knowledge of external public data such as data from CMS, census, CDC, AHRQ, etc. is a plus.

    • Strong working knowledge with data visualization and geographic data analysis tools such as Tableau and ArcGIS.

    • Advanced proficiency with data mining, mathematics, and statistical analysis.

    • Advanced proficiency with pattern recognition and predictive modeling experience.

    • Advanced organizational, technical, analytical, and written/oral communication skills.

    • Advanced technical writing skills in business requirements, queries, reports, and presentations

    • Advanced analytical and quantitative skills with experience collecting, organizing, mining, analyzing, visualizing and disseminating abundant information with the utmost accuracy and presentation.

    • Efficiently manages time-based on the continual evaluation of priorities, meets deadlines with high-quality deliverable reflecting complete understanding of expectations, able to multi-task.

    EOE Minorities/Females/Protected Veterans/Disabled