Biostatistics Senior Analyst - PREVENT Institute

Ohio State University; United States; On-site; USD 95,000 - 145,000; Full time

Job summary

Ohio State University’s PREVENT Institute seeks a Statistics and Biostatistics Analyst 3 to provide advanced statistical leadership across prevention and population health research. You will design analyses for prospective and retrospective studies, support multidisciplinary teams, and contribute to grant proposals while advancing health equity and implementation science.

The role focuses on complex analytics, innovative methodological approaches, and collaboration with investigators,

Responsibilities

• Advanced Statistical Leadership: Provide advanced statistical consultation for diverse health and prevention studies; design and implement complex analysis plans; lead analytic strategies for large observational studies and pragmatic trials; expertise in longitudinal analysis, multilevel modeling, survival analysis, GLMMs, causal inference, mediation, and predictive modeling; develop approaches for evaluating implementation outcomes and health equity.
• Research Collaboration and Grant Support: Collaborate on multidisciplinary teams; contribute to NIH/PCORI/ACS/CDCs grants; develop statistical sections, power analyses, sample size calculations, data analysis plans, and methodological approaches for proposals; assist in study design and protocol development.
• Population Health and Implementation Science Analytics: Analyze EHR, cancer registry, claims, survey, and community data; evaluate adoption, reach, fidelity, sustainability, acceptability, feasibility, and effectiveness of interventions; support population health initiatives and translational research.
• Data Management and Methodological Innovation: Lead development of complex research databases and innovative analytic methods.

Job description

Job Title: Biostatistics Senior Analyst - PREVENT Institute

Department:

CCC | Sponsored Research

Position Summary

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.

Primary Responsibilities

Advanced Statistical Leadership

• 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.

Research Collaboration and Grant Support

• 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.

Population Health and Implementation Science Analytics

• 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.

Data Management and Methodological Innovation

• Lead development of complex research databases and