Postdoctoral Associate

School of Medicine: Established in 1930, Duke University School of Medicine is the youngest of the nation's top medical schools. Ranked sixth among medical schools in the nation, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental scientific discoveries to improve human health locally and around the globe. Composed of more than 2,600 faculty physicians and researchers, nearly 2,000 students, and more than 6,200 staff, the Duke University School of Medicine along with the Duke University School of Nursing, and Duke University Health System comprise Duke Health, a world-class academic medical center. The Health System encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Be You. The Department of Biostatistics and Bioinformatics at Duke University is seeking a Postdoctoral Associate to join our research team. In this role, you will collaborate with investigators within and outside of Duke University on cancer-focused research projects that aim to improve the understanding of clinical outcomes and advance statistical methodology. You will contribute to projects focused on identifying and validating surrogate endpoints for overall survival using data from cancer clinical trials and patient registries, developing prognostic models of clinical outcomes in cancer, and conducting Bayesian meta-analyses. This position also provides opportunities to develop innovative statistical methods related to clinical trial design, variable selection in high-dimensional data, prediction of clinical outcomes, and meta-analysis methodology. These efforts are expected to result in collaborative and methodological publications in high-quality, peer-reviewed journals. Minimum Requirements Doctoral degree PhD or equivalent in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong programming skills in R. Proficiency working within UNIX/Linux environments. Preferred Qualifications Experience with Bayesian statistical methods. Experience with hierarchical modeling and mixed effects models. Knowledge of survival analysis. Knowledge of machine learning methods. Other Requirements Application materials must include: Curriculum Vitae CV Statement of research interests Names of three professional references Work Arrangement Onsite. The work is performed on-site at Duke University in Durham, North Carolina. Appointment Term Initial appointment is for two years. Renewal may be considered based on project needs and available funding. Be Bold. Key Responsibilities: Collaborate with investigators from Duke University and external organizations




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