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Central Health · 2 months ago

Lead Statistician & Program Evaluator

Austin, TX

Full-time

Onsite

Senior Level, Lead/Staff

5+ years exp

Central Health is focused on improving healthcare delivery systems, and they are seeking a Lead Statistician & Program Evaluator to lead the design, analysis, and interpretation of data. This role involves advanced biostatistical modeling and program evaluation to inform strategic decisions and improve health outcomes.

Health CareHealth DiagnosticsMedical

Responsibilities

Lead the design, analysis, and interpretation of quantitative and qualitative data to inform strategic decisions across Central Health’s healthcare delivery system

Design and implement advanced healthcare models (e.g., risk stratification, utilization forecasting, quality/outcome measurement) using Python and SQL

Creates data visualizations using available applications (e.g. Tableau, MS Excel, ArcGIS)

Develop and validate predictive models and statistical algorithms to evaluate health interventions and clinical programs

Ensure methodological rigor in analyses supporting health equity, access, and outcomes measurement

Leverage literature (e.g. journal articles, white papers, etc.) and other publicly available data resources related to data requests to inform analysis when appropriate

Lead formal evaluations of clinical, community, and population health programs to assess effectiveness, efficiency, and impact

Design evaluation frameworks, metrics, and data collection instruments aligned with program logic models and strategic objectives

Apply mixed-methods approaches to evaluate both quantitative outcomes and qualitative findings

Develop surveys for patients, providers, and community stakeholders to capture health behaviors, needs, and satisfaction; training operations and clinical teams on survey administration

Ensure survey validity, reliability, and compliance with research ethics standards

Lead and contribute to community health assessments and needs analyses to identify disparities, gaps in care, and opportunities for improvement

Integrate findings with secondary data sources (e.g., BRFSS, ACS, CDC, SEER) for comprehensive community profiling

Present analytic results and recommendations clearly to varied audiences including executives, community boards, clinicians, and policymakers

Translate complex statistical findings into accessible insights for strategic and operational decision-making

Author technical reports, white papers, and evaluation summaries suitable for publication or public presentation

Partner with the Principal Data Scientist and other data professionals to strengthen Central Health’s analytic capabilities and data science maturity

Provide mentorship to analysts and evaluation specialists in statistical methods and program evaluation best practices

Provides statistical modeling expertise for various projects

Performs other duties as assigned

Qualification

Biostatistical modelingProgram evaluationHealthcare data analysisPython scriptingSQL scriptingData visualizationMixed-methods approachesStatistical algorithmsCommunity health assessmentSurvey developmentCommunication skillsMentorshipTechnical writing