*This is a new position at the Alliance where you will bring your skills in healthcare data science to be a part of a new team focused on making a direct impact on the delivery of advanced analytics to improve health strategies, outcomes and the overall lives of our members.



We are a group of over 500 dedicated employees, committed to our mission of providing accessible, quality health care that is guided by local innovation. We feel that our work is bigger than ourselves. We leave work each day knowing that we made a difference in the community around us.

Join us at Central California Alliance for Health (the Alliance), where you will be part of a culture that is respectful, diverse, professional and fun, and where you are empowered to do your best work. As a regional non-profit health plan, we serve over 330,000 members in Santa Cruz, Monterey and Merced counties. To learn more about us, click here or check out this video



Leading the process of designing and developing innovative, data-driven exploratory analysis and predictive and decision models to address business issues related to healthcare management and value-based payment models. You will provide proactive, strategic consultative solutions related to population health and program evaluation and independently collaborates and partners with management, project managers, and IT to develop, implement and manage an assigned project portfolio and will provide subject matter expertise, and assists with providing mentoring and training.



Our Analytics teams are skilled, focused, and highly collaborative. We work hard, have fun and take pride in how our work impacts the health outcomes for the communities we serve.



  • Certification as a Certified Professional in Healthcare Quality (CPHQ)
  • Thorough knowledge of statistical software, such as SAS/R/Python
  • Working knowledge of provider analytics
  • Working knowledge of SQL and of data visualization tools, such as Tableau
  • Experience working on Artificial Intelligence projects



  • Thorough Knowledge of:
    • Predictive modeling, data mining, and risk adjustment
    • Statistical techniques and data science
    • Principles and practices of project management
    • Statistical software, such as SAS/R/Python
    • Windows based PC systems and Microsoft Word, Outlook, PowerPoint, and Excel, as well as report-generating software
    • Program outcomes evaluation metrics, such as National Committee for Quality Assurance (NCQA), Utilization Review Accreditation Commission (URAC), Agency for Healthcare Research and Quality (AHRQ), and/or Leapfrog
    • Healthcare industry and healthcare information standards such as HL7, LOINC, FHIR, ICD 9/10 and CPT codes, industry standard groupers, such as ETGs, DRGs, and DCGs
    • Health plan and delivery system operations, healthcare informatics, and healthcare benefits and terminology
  • Ability to:
    • Perform new product development from concept to final delivery
    • Develop new algorithms and modify existing algorithms in order to solve business problems
    • Identify and analyze database and data processing problems and recommend solutions
    • Apply business acumen and quickly and effectively assess business situations, risks, and opportunities in order to ensure beneficial outcomes
    • Manage multiple projects simultaneously, organize work, maintain accurate records, and achieve goals and timelines
    • Develop data-driven and outcome-based initiatives to improve business decision making
    • Work collaboratively with individuals at all levels in a matrix organization while supporting multiple customers
  • Education and Experience:
    • Master’s degree in Data Science, Predictive Analytics, Engineering, Mathematics, Statistics, Computer Science or a related field
    • Minimum of five years of advanced analytics experience in a healthcare setting which included a minimum of three years of experience building and applying predictive models and performing programming using statistical software or an equivalent combination of education and experience which would provide the required knowledge, skills and abilities may be qualifying.  (Note: a Bachelor’s degree and two years of additional experience may substitute for the Master’s degree).  

To read the full position description, and list of requirements click here. 


  • Medical, Dental and Vision Plans
  • Ample Paid Time Off
  • 11 Paid Holidays per year
  • 401(a) Retirement Plan
  • 457 Deferred Compensation Plan
  • Robust Health and Wellness Program
  • EV Charging Stations
  • And many more

Applicants must be currently authorized to work in the United States on a full-time basis.


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