Biostatistics Senior Analyst - PREVENT Institute

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The PREVENT Institute (Prevention Research, Equity, Value, Early Detection, Navigation and Translation) seeks a highly skilled Statistics and Biostatistics Analyst 3 to provide advanced statistical leadership and analytic expertise in support of prevention science, population health, implementation science, cancer prevention and control, health equity, survivorship, screening, and early detection research. The individual will serve as a senior quantitative scientist responsible for the design, analysis, interpretation, and dissemination of complex research studies while collaborating with multidisciplinary teams of investigators, clinicians, implementation scientists, data scientists, and community-engaged researchers.

The Analyst 3 will provide independent biostatistical consultation and leadership across a diverse portfolio of federally funded and foundation-supported research projects. This position will play a critical role in advancing the PREVENT Institute's mission to generate actionable evidence that improves population health outcomes and accelerates the implementation of effective prevention and screening interventions into real-world settings.

Aligned with the PREVENT Institute's focus on population health, prevention, survivorship, implementation science, health services research, predictive analytics, and community-engaged research, the position will support the development of innovative analytic approaches that inform policy, healthcare delivery, and public health practice. The role aligns with PREVENT's emphasis on population data, advanced analytics, prevention research, and implementation of evidence-based interventions.

• Provide advanced statistical consultation for clinical, translational, behavioral, implementation, health services, population health, and community-based research studies.
• Design and implement complex statistical analysis plans for prospective and retrospective research studies.
• Lead development of analytic strategies for large observational studies, pragmatic trials, implementation studies, hybrid effectiveness-implementation designs, and community-engaged research.
• Provide expertise in longitudinal analysis, multilevel modeling, survival analysis, generalized linear mixed models, causal inference, mediation analysis, and predictive modeling.
• Develop innovative approaches for evaluating implementation outcomes, dissemination strategies, and health equity interventions.

• Serve as a key collaborator on multidisciplinary research teams.
• Participate in the development of NIH, PCORI, ACS, CDC, DOD, AHRQ, and foundation grant applications.
• Develop statistical sections, power analyses, sample size calculations, data analysis plans, and methodological approaches for grant proposals.
• Contribute to study design and protocol development for prevention and implementation science research.
• Assist investigators in identifying innovative analytic approaches that strengthen funding competitiveness.

• Design and conduct analyses using electronic health record data, cancer registry data, administrative claims data, survey data, and community-based datasets.
• Evaluate implementation outcomes including adoption, reach, fidelity, sustainability, acceptability, feasibility, and effectiveness.
• Support population health initiatives focused on cancer prevention, screening, survivorship, chronic disease prevention, and health disparities.
• Develop analytic approaches to evaluate healthcare delivery interventions and population-level outcomes.
• Collaborate with investigators to translate findings into actionable recommendations for healthcare systems, policymakers, and community organizations.

• Lead development of complex research databases and analytic datasets.
• Conduct data quality assessments, validation activities, and reproducible analytic workflows.
• Develop programming solutions using SAS, R, STATA, Python, SQL, and other statistical software.
• Apply advanced quantitative methods, machine learning approaches, and predictive analytics to large-scale population health datasets.
• Ensure data integrity, confidentiality, and regulatory compliance across research activities.

• Lead or contribute to…