Sr. Healthcare Informatics Analyst-Fully Remote

Dice is seeking a Senior Healthcare Informatics Analyst to support a premier healthcare payor organization as a remote contractor. The role involves providing analytics to improve healthcare valuation and utilization, developing analytic attributes, and collaborating with various business areas for strategic planning and decision making.

Responsibilities:

• Independently provides analytics in understanding and improving how health care is valued, utilized, and provided
• Develop analytic attributes that pertain to patient level health utilization/outcome, provider performance measures, risk-adjusted revenue optimization, medical cost management, and behavior attributes on patient/provider engagement
• Leads the selection of evaluation/analytics/BI methodologies and communicate recommendations to facilitate problem solving, solution development, decision making and strategic planning
• Appropriately leverages in-house clinical reporting software and models, Enterprise Data Warehouse (EDW) data sources and non-EDW data sources
• Independently facilitates business development and documents business problems and develops analytic solutions (i.e. Predictive model, BI solution, or analytic attributes)
• Serves as the analytics advisor to collaborating departments on corporate and cross functional projects, reports and activities
• Independently translates business rules into analytical models and works as a liaison among healthcare analytics, Enterprise Information Management (EIM), IT and business areas
• Performs peer data quality reviews, validating data and process to ensure accuracy, completeness and consistency of department output
• Independently performs descriptive and analytic studies using advanced analytical/statistical techniques

Requirements:

• Bachelor's in healthcare administration, statistics, economics, analytics, computer science, finance or other quantitative disciplines required
• 6+ years of Healthcare Informatics Analyst, specifically seeking Healthcare payor experience
• Strong critical thinking, analytical and problem-solving skills are required
• Requires experience building predictive models
• Basic knowledge of United States healthcare delivery system in payer setting or provider setting is required
• Must have strong knowledge of common query/analytic/visualization tools such as SQL, SAS, R, Python, Tableau, etc
• Understanding of statistical methodologies including big data computation and outcome research
• Must be competent in using machine learning and data mining methods such as linear, logistic, and polynomial regression, support vector machines, decision trees, cluster analysis, time series analysis, unstructured data mining, ensembles and other methodologies
• Master's in related field preferred
• Strong knowledge of outcome research design, controlled study design is preferred
• Advanced knowledge of SAS including Enterprise Miner is preferred
• Strong understanding of provider payment methodologies, population health management, and risk adjustments is desired
• Strong understanding of clinical groupers including episode groupers and risk groupers such as DRG, APC, ETG, MEG, DxCg, and HCC is highly desired
• Strong understanding of quality metrics (HEDIS, AHRQ) is desired
• Knowledge of commercial risk optimization and MA risk optimization is a plus