Research Scientist, Health Analytics – Center Health Research, Policy & Strategy

Overview

The Research Scientist, Health Analytics leads rigorous health policy research and advanced quantitative analyses to support high-impact, evidence-based strategy, business decisions, and policy insights within Healthsperien’s Center for Health Research, Policy & Strategy (CHRPS). This role serves as a senior technical leader, providing methodological expertise, analytic oversight, and programming leadership across multiple projects that draw on a wide range of public, private, and client-provided data sources, including public health, administrative claims, and clinical data.

This position plays a critical role in shaping analytic approaches, ensuring methodological rigor, and advancing CHRPS’ analytic capabilities through applied research, utilization and cost modeling, advanced statistical methods, and reproducible programming practices. The Senior Research Scientist works closely with interdisciplinary internal teams to translate complex policy, research, and business questions into robust, actionable analytic solutions.

The ideal candidate brings deep expertise in healthcare data and analytics, advanced programming and modeling skills, a strong understanding of healthcare delivery and financing, and the ability to lead analytic strategy across diverse health policy and market-facing initiatives.

Compensation: $125,000 - $185,000 (annual base) Final compensation will be commensurate with education and experience. Healthsperien offers a flexible work environment and competitive benefits package.

• Lead the design, execution, and oversight of complex quantitative analyses using diverse data sources, including public datasets, administrative claims, clinical data, and client-provided files.
• Translate complex policy, research, and business questions into rigorous analytic frameworks, study designs, and modeling strategies.
• Serve as a senior technical authority on analytic methods, health economics, and applied statistical and econometric techniques.
• Develop and oversee reproducible, well-documented analytic code, workflows, and quality assurance processes.
• Guide integration of multiple data sources, ensuring data integrity, analytic validity, and methodological consistency across projects.
• Conduct and oversee advanced utilization modeling, cost forecasting, and policy impact assessments.
• Lead applied research on priority health policy topics, including Medicare Advantage, Medicaid managed care, prescription drug policy, alternative payment models, and health system transformation initiatives.
• Monitor and interpret federal and state policy developments and translate implications into analytic strategies and research agendas.
• Synthesize analytic findings into clear and compelling deliverables, including technical memos, issue briefs, presentations, and client-facing reports.
• Provide analytic mentorship, technical guidance, and quality oversight to analysts and other project staff.
• Collaborate closely with interdisciplinary teams to align analytic approaches with policy objectives, client needs, and strategic goals.
• Contribute to proposal development, analytic planning, and methodological design for new initiatives and partnerships.
• Lead development of standard analytic tools, templates, and documentation processes to strengthen institutional capacity and consistency.
• Promote a culture of analytic excellence, transparency, collaboration, and continuous improvement.

• Master’s or PhD required in health economics, public policy, biostatistics, epidemiology, data science, health services research, or a related quantitative field.
• 7–10+ years of experience in healthcare analytics, health policy research, consulting, or applied health economics; experience in client-facing roles preferred.
• Demonstrated expertise working with large, complex healthcare datasets, including administrative claims, clinical data, public health datasets, and/or linked multi-source data.
• Extensive programming experience in at least one statistical programming language (e.g., Python, R, SAS, Stata, SQL), with demonstrated ability to design scalable, reproducible analytic workflows.
• Proven experience…