The ACI Group, a Baltimore-based staffing firm, is seeking a Sr. Healthcare Data Analyst/Actuary for a part-time, remote position. The role involves leading quantitative analysis, designing surveys, and creating data visualizations to support healthcare payment policy evaluations.
Responsibilities:
- Lead quantitative analysis and modeling to evaluate hospital facility fees and related payment policies
- Analyze datasets to assess payer impacts and policy scenarios
- Develop and apply statistical methods and analytic frameworks to support policy evaluation
- Conduct both quantitative and qualitative analyses relevant to healthcare payment policy
- Design stakeholder surveys and data collection tools to gather insights from clinicians, hospitals, and other healthcare stakeholders
- Develop sampling strategies, survey instruments, and analytic plans
- Analyze survey results and integrate findings with claims-based quantitative analysis
- Ensure appropriate methodological documentation and transparency
- Create data visualizations, charts, and graphics to communicate key analytic findings
- Work collaboratively with clinicians and subject matter experts to interpret analytic results
- Translate complex statistical findings into clear, actionable insights relevant to policymakers, regulators, and stakeholders
- Contribute to the development of briefs summarizing quantitative and qualitative findings
- Clearly document assumptions, methods, and methodological considerations used in the analysis
- Support preparation of technical appendices, exhibits, and analytic documentation
- Ensure analytic outputs are accurate, transparent, and reproducible
- Collaborate with policy analysts, clinicians, and project leadership
- Participate in periodic analytic reviews and discussions of findings and policy implications
Requirements:
- Masters degree or higher in Actuarial Science, Statistics, Biostatistics, Economics, Health Services Research, Data Science, Public Health, or a related quantitative field OR Bachelors degree in a quantitative field with significant professional experience (7+ years) in healthcare data analysis, actuarial analysis, or health policy research
- Experience designing and analyzing health policy or healthcare stakeholder surveys
- Experience analyzing healthcare payment models, reimbursement policy, or rate-setting systems
- Experience assessing methodological assumptions and limitations
- Experience creating data visualizations, dashboards, and analytic graphics to communicate findings