Healthcare Data Analytics Consultant, Quality Measurement - Remote

Dice is a premier national health care and human services consulting and policy analysis firm. They are seeking a Healthcare Data Analytics Consultant, Quality Measurement to evaluate clinical measures and perform quantitative analysis to inform quality measurement for Medicare and Medicaid payment models.

Responsibilities:

• Evaluate evidence on effectiveness for clinical measures derived from administrative or claims data, health records, electronic health records, other data sources in compliance with Centers for Medicare & Medicaid Services (CMS), the Agency for Healthcare Research and Quality, and the National Quality Forum (NQF) requirements
• Develop test measure protocols and measure specifications
• Perform a broad range of quantitative analysis to inform quality measurement for Medicare and Medicaid payment models
• Track activities of key standards-setting committees and consensus-based organizations such as NQF
• Draft and manage proposals for new projects related to measure development, testing, maintenance, and implementation
• Engage, develop, cultivate and expand new and existing client relationships through policy consultation and thought leadership
• Support the continued development of existing strategy to fuel long-term organizational growth in partnership with organizational leadership
• Manage project delivery teams responsible for day-to-day project execution
• Mentor other team members to develop their technical and analytical problem-solving skills

Requirements:

• Health policy professional with 4+ years industry experience in health services research, evaluation and/or policy including strong analytic skills and advanced degree (M.D., D.O., Master's degree, or Ph.D.) in medicine, economics, health policy research, or similar discipline OR a Bachelor's degree with 6+ years of experience
• Experience in leading business development and proposal response efforts, including engaging with clients and partners in the business development process
• Experience working on quality measure engagements, preferably for federal programs, including those at CMS
• Experience working with various types of data used to measure health care quality (e.g., administrative claims, instrument-collected data, chart-abstracted data, EHR output)
• Experience collaborating with and building consensus with diverse teams ability to communicate with individuals of varying technical aptitudes and professional backgrounds
• Demonstrated experience implementing or supporting eCQMs for CMS programs (e.g., IQR, MIPS, ACOs, Innovation Center models)
• Experience working with clinical data from EHRs and/or claims data in a quality measurement context
• Broad understanding of federal or state health policy issues, with ability to work in multiple areas serving as a subject matter expert
• Solid understanding of CMS quality measure specifications, including numerators, denominators, exclusions, and data completeness rules
• Proven ability to translate policy and measure specifications into technical requirements and implementation logic
• Experience supporting multi-year quality measure development or implementation contracts
• Experience with databases having complex structures and relationships, such as the Integrated Data Repository, Chronic Conditions Warehouse, or similar data environment