Postdoctoral Fellow Position in Population Sciences and Life Course Aging at the University of Utah.
Quantitative Post-Doctoral Fellow opening to work with a team of population scientists on a study funded by the National Institutes of Health. The study, titled Early Life Conditions, Survival, and Health (ELCS) is a long-running project and its principal aim is to examine the relationship between circumstances that occur at the start of life (including in utero, infancy, childhood/adolescence, and early adulthood) and health and mortality in middle and later adulthood among individuals and family lineages.
The ideal candidate has Interest and training in demography or related fields as applied to aging as well as experience in conducting complex multivariate analyses on very large data sets. Understanding and experience in all variations of regression analyses including general linear models, hierarchical-multilevel methods, logistic, and survival/Cox techniques; also a solid understanding of fixed and random effects as applied to these techniques. It is desirable but not required to have experience with principal components/factor analysis and/or Bayesian models.
Experience with prominent statistical packages is required, including R, SAS, and Stata. Understanding of SQL and relational databases is desirable.
Position involves working closely with an interdisciplinary team of investigators in demography, epidemiology, oncology, genetics and geography. The successful applicant may also interact with the Utah Population Database.
Responsibilities include analysis and manuscript preparation in working directly with the PI, Dr. Ken Smith. Applications will be accepted until position is filled; position could start immediately. Funding is through May 1 2017. Completed applications include a vita, three letters of recommendation, and relevant (p)reprints and should be can be sent to Dr. Smith at firstname.lastname@example.org and Diana Lane Reed (Diana.email@example.com). Please put ELCS Postdoc in the subject line.