Additional qualifications include: A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization methods, and complex missing data methodology. Expertise in statistical programming (R, Python, Stan/BUGS). Proficiency with clinical trial simulation to support both methodological research and the initial design and subsequent modification of trials. Experience supporting large-scale trials, clinical research networks, and/or data and safety monitoring board statistical activities. Experience collaborating with clinician-scientists, particularly physician-scientists. Proficiency in analyzing and interpreting patient-reported outcome measures such as quality-of-life endpoints, including handling of missing data such as that due to non-response, death, or other intercurrent events. Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines.

Research or scholarship responsibilities may include demonstrated ability to lead peer-reviewed publications in clinical trials methodology and support multi-site collaborative research projects.

The Center for Clinical Trials Innovation in the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, in collaboration with the Palliative and Advanced Illness Research Center, seeks candidates with a PhD in Statistical Epidemiology, Biostatistics, Statistics, or a closely related quantitative field, with 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career researchers who will advance innovative clinical trial methodologies and lead cutting-edge research in the statistical design, analysis, monitoring, and interpretation of complex multi-arm, cluster, pragmatic, Bayesian, adaptive, and platform randomized trials.

Additional qualifications include: A strong background and expertise in Bayesian statistical methods, causal inference, machine learning, pragmatic trial designs with cluster-randomization methods, and complex missing data methodology. Expertise in statistical programming (R, Python, Stan/BUGS). Proficiency with clinical trial simulation to support both methodological research and the initial design and subsequent modification of trials. Experience supporting large-scale trials, clinical research networks, and/or data and safety monitoring board statistical activities. Experience collaborating with clinician-scientists, particularly physician-scientists. Proficiency in analyzing and interpreting patient-reported outcome measures such as quality-of-life endpoints, including handling of missing data such as that due to non-response, death, or other intercurrent events. Demonstrated aptitude working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and supporting reproducible research pipelines.

Research or scholarship responsibilities may include demonstrated ability to lead peer-reviewed publications in clinical trials methodology and support multi-site collaborative research projects.

The Center for Clinical Trials Innovation in the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, in collaboration with the Palliative and Advanced Illness Research Center, seeks candidates with a PhD in Statistical Epidemiology, Biostatistics, Statistics, or a closely related quantitative field, with 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career researchers who will advance innovative clinical trial methodologies and lead cutting-edge research in the statistical design, analysis, monitoring, and interpretation of complex multi-arm, cluster, pragmatic, Bayesian, adaptive, and platform randomized trials.