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AI Summary

The Senior Outcomes Specialist evaluates internal clinical programs and develops predictive models to guide evidence-based population health management. They are responsible for conducting advanced statistical analyses to quantify business performance, calculate ROI, and design new methodologies.

For roles that are 100% remote or hybrid, you must have access to a reliable high-speed internet connection to support daily job responsibilities. A minimum bandwidth of 50 Mbps download and 5 Mbps upload is required. Those fully remote associates residing in states where service is required by contract, law, or regulation will be allowed to submit for reimbursement.

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 Newtown Square, 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 www.amerihealthcaritas.com.

Role Overview

Under the leadership of the Manager Business Insights, the Senior Outcomes Specialist Sr. 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 present evaluation results in a manner that’s accepted by a diverse group of stakeholders.

Work Arrangement

  • Remote role
  • Monday through Friday, 8:30 AM EST to 5:00 PM EST

Responsibilities

  • Serve as thought leader for technical business processes, developing forward-thinking prototypes that promote increased efficiency and productivity on multiple levels.
  • Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources
  • Define and implement data acquisition and integration logic, selecting appropriate combination of methods and tools within defined technology stack to ensure optimal scalability and performance of the solution.
  • Identify trends, opportunities and anomalies through analysis of complex data sets.
  • Lead in designing new approaches and methodologies.
  • Calculate return on invest (ROI), evaluate potential operational changes.
  • 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.

Education and Experience

  • Bachelor’s Degree in applied statistics, computer science, mathematics, epidemiology, sociology, or economics. Master’s Degree preferred.
  • 5 to 10 years experience using mathematics, statistics, modeling, business analysis, and technology to transform high volumes of complex data into advanced analytic solutions.
  • 5 to 8 years experience in outcomes analyses and predictive modeling design and implementation in health care field.
  • 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.
  • Healthcare publication experience with reputable journals.
  • 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 technical skills in Excel, PowerPoint, Tableau and statistical analysis tools such as SAS EG, SAS Enterprise Miner or R with the ability to learn other analytic tools.
  • 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.

Our Comprehensive Benefits Package

Flexible work solutions including remote options, hybrid work schedules, Competitive pay, Paid time off including holidays and volunteer events, Health insurance coverage for you and your dependents on Day 1, 401(k) Tuition reimbursement and more.

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