University of Pittsburgh
Associate/Assistant Professor of Epidemiology (METHODS) (Finance)
The Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh invites applications for a full-time faculty position at the level of Assistant or Associate Professor. The position is available immediately and requires a PhD degree in biostatistics, statistics, epidemiology, data science, bioinformatics, or a related field.
The candidate should demonstrate skills in coursework design and teaching advanced theory and methods for the analysis of epidemiological data. Of particular interest are candidates who focus on pedagogy and educational program development. Successful candidates will be responsible for leading independent research including the development and application of novel epidemiologic and statistical methods. Research areas of interest include, but are not limited to, causal inference methods, inverse probability weighting, g-computation methods, mediation analyses, prediction models, machine learning, and Bayesian adaptive designs. Candidates should have training and experience in the design and analysis of cohort studies and/or clinical trials elucidating the environmental, behavioral, social, or biologic determinants of disease or in evaluating the effectiveness of interventions. The position will require that the candidate obtain independent research grant funding, publish manuscripts, and develop an independent program of research. Candidate will also teach and mentor master and doctoral degree students within the Epidemiology program. Salary will be commensurate with experience.
In addition to the qualifications above, appointment at the Associate Professor level requires five years of experience and demonstrated scholarly productivity, including teaching, funded research, and extensive publications in peer-reviewed journals.
Review of applications will commence upon receipt of all application materials and will continue until the position is filled. Please apply through requisition # 20006032 on join.pitt.edu.
The following documents are required. Upload them to your profile so they are part of your application:
Please attach a cover letter, curriculum vitae, a statement of current and future research directions, and the names of three references to your online application