3123 Research Blvd #200
Breadth and depth of knowledge of statistical methodology and applied statistics for common types of public health and clinical research. This includes knowledge and experience with different types of study designs. For example, clinical trials, observational studies, and complex surveys. In addition, must have experience with sample size estimation and questionnaire development.
Evidence of productivity resulting from previous collaborative research (e.g., peer-reviewed publications, participation in writing grant applications, abstracts, posters, presentations, reports, or other products).
Expertise in SPSS, SAS, and/or R
Ability to work both independently and collaboratively as part of a research team.
Excellent analytical, interpersonal, time management, and organizational skills, including thorough and consistent documentation of work to ensure reproducibility.
Excellent oral and written communication skills, in particular in the communication of statistical concepts and results to non-statisticians.
To qualify for Assistant Professor, the candidate must meet the minimum qualifications listed above.
To qualify for Associate Professor, the candidate must meet the minimum qualifications and in addition, the candidate must have a record of sustained and high-quality teaching and scholarship. Scholarship performance includes a minimum of five articles in peer-reviewed journals, or equivalent peer-reviewed repository, while at the rank of assistant professor. For publications on which the candidate is not the first author or senior author, the publications must represent reports of work in which the faculty member is the primary author or played a major role in the research. Outstanding teaching performance may be documented by learner and peer evaluations and awards.