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Position specific details: This is a Health Research role where the successful hire will conduct data analysis, review and incorporation of relevant literature, collaborative project design, associated data collection activities including extracting and manipulating data, use statistical methods to analyze data and generate useful reports depicting trends in performance measures, conducting basic statistical analysis, report writing, and presenting results at committee meetings. This is not an IT role. Will also be responsible for understanding and assisting with updating performance measure methodology, including reporting and data requirements, and using quality improvement techniques to improve organizational and/or provider performance.

This is a hybrid role in which the successful hire will be required to work in-office at least 1-2x a week in our Rocky Hill, CT or Wallingford, CT office.

The Health Research Scientist - Connecticut creates statistical models to predict, classify, quantify, and/or forecast behavioral health (BH) outcomes. business metrics. Design modeling studies to address specific issues determined by consultation with internal and external partners.

Primary duties may include, but are not limited to:

• Prepares analytical data sets based on Medicaid claims and authorization data in support of modeling studies.

• Build, test, and validate statistical models.

• Publishes results and address constraints/limitations with high level partners.

• Proactively collaborates interdepartmentally to determine identified population segments and develop actionable plans to enable the identification of patterns related to quality, use, cost and other variables.

Position requirements:

• Requires MS, MA, or PhD with concentration in a quantitative discipline such as statistics, cognitive science, economics, or operations research; a minimum of 3 years direct experience programming large, multi-source datasets with SAS required, and a minimum of 3 years in health care setting; or any combination of education and experience which would provide an equivalent background.

Preferred qualifications:

• Experience in behavioral health, social studies, social work, psychiatry, or public health is strongly preferred.

• Intermediate to Advanced expertise with software such as SAS, SAS Enterprise Miner, Tableau or equivalents strongly preferred.

• Proven ability to design research studies and experience with data models, program evaluation, addressing data quality issues in study design, constructing robust and efficient analytical data sets strongly preferred.

• Significant experience analyzing claims data strongly preferred.

• The ability to present meaningful results to a business audience, to participate collaboratively in a team tasked to produce complex analyses on a rigorous schedule, to communicate with strong written and verbal communications skills, and to present to large multi-disciplinary audiences on a regular basis strongly preferred.

• Healthcare/managed care/insurance experience preferred.

• Experience with value-based payment models or attribution methodologies.