The Ryser Laboratory at Duke University (Durham, NC, USA) is looking for a highly motivated Postdoctoral Associate in the fields of longitudinal data analysis and joint modeling of cancer screening and surveillance data. The position will be funded by Marc D. Ryser , PhD who holds a joint appointment between the Departments Population Health Sciences and Mathematics . The appointment is for 2 years, starting March 1, 2022, or later, and may be renewed for 1 year. Overview. The successful applicant will use tools from statistics, biostatistics and mathematics to analyze and model rich longitudinal datasets from breast and brain cancer patients. Possible projects include (i) model-based inference of breast cancer overdiagnosis from a large longitudinal mammography registry; (ii) joint modeling of surveillance patterns and disease recurrence in a large, newly established cohort of patients diagnosed with early-stage breast cancer; and (iii) joint modeling of surveillance imaging (MRI) and disease progression in low-grade glioma patients. All three projects will require a certain degree of applied methods development. The work will be performed in a cross-disciplinary setting, together with clinical collaborators. Qualifications. The successful applicant has a doctorate in (bio)statistics, applied mathematics, epidemiology, or a related discipline. The position requires proficiency in stochastic processes, longitudinal data analysis, joint modeling of longitudinal processes, and Bayesian inference techniques. Extensive experience with real-world (cancer) data and advanced statistical programming skills are required. The successful applicant demonstrates great attention to detail, works independently, takes initiative, has excellent written and verbal communication skills, and performs well in an interdisciplinary environment at the interface between the quantitative sciences and medicine. The successful candidate is expected to have a track record of first-author publication in peer-reviewed journals. Application. Interested applicants should submit the following documents:
Completed applications will be reviewed on an ongoing basis until the position is filled, with priority given to applications submitted prior to January 5, 2022. Questions may be directed to [email protected] . |
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