The School of Nursing is committed to sustaining an inclusive environment that embraces, celebrates and benefits from the uniqueness of each of our community members. This commitment is based on our belief that the dignity of each human being is to be respected and nurtured. We value each individual’s unique attributes, behaviors and values, recognizing that each of us is influenced by our environment, social norms, cultural values, past experiences, religious beliefs and life choices. Since we also believe that human beings exist in relation to one another, the emphasis on community building and celebration of differences serves to strengthen our ties to one another.
Statement of Diversity | Academic Philosophy
DUSON is at the forefront of nursing education, and the recruitment of outstanding individuals to its faculty is paramount to the continued fulfillment of the School's educational priorities and in its mission to advance nursing science and prepare future nursing leaders. We invite the best and brightest educators, practitioners and researchers to consider our faculty opportunities.
The School's Faculty Search Committee considers applications in light of a specific faculty opportunity. All applicants should reference the faculty opportunity (listed below) that she/he is interested in pursuing in their letter of interest.
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Assistant or Associate Research Professor of Statistics
THE ROLE: The Duke University School of Nursing invites applications from doctorally-prepared candidates with advanced skills in health statistics and data science for a full-time faculty position on Track III (a non-tenure earning research track) in the School. Faculty appointment to rank will be made at the Assistant or Associate Research Professor level based on the candidate’s experience and career goals. Secondary appointments in departments within Duke, such as Bioinformatics and Biostatistics, Statistical Sciences, and Population Health Sciences, may be considered.
QUALIFICATIONS: A doctorate degree in biostatistics, statistics, data science, psychometrics, or other quantitative fields is required. The areas of expertise are, but not limited to, design and analysis of randomized clinical trials, longitudinal data analysis (e.g., mixed linear models, trajectory analysis, survival analysis), latent variable modeling (e.g., factor analysis, structural equation modeling, cluster analysis, latent class/profile analysis), and causal inference. Programming skills in R, SAS, SPSS, and/or Stata.
LEARN MORE: For information about this position, complete qualification list, and application instructions, please visit: Interfolio.