University of Washington School of Public Health
Statistical Analysis Programmer - University of Pennsylvania
Closing Date: open until filled
Posted: January 17, 2018
The Positive Psychology Center at the University of Pennsylvania seeks a full time data analyst for a grant examining the influence of psychological assets on performance, health outcomes, and health care utilization in U.S. Army Soldiers. The data analyst will link massive Army data sets containing soldiers’ occupation, award, promotion, deployment, education, training, family, conduct, survey (e.g., entrance exams, psychological data), and medical records to model soldier psychological and physical health before and after deployment.
The data analyst will provide statistical and data analysis support across various research initiatives, and have publication opportunities. Responsibilities include developing analytical data sets and performing statistical analyses and modeling. The data analyst will communicate results to project members and contribute toward writing statistical methods/results sections of manuscripts for publication. The project involves leading researchers in psychology and preventive health, including Drs. Martin Seligman, Laura Kubzansky, Ed Diener, Laurence Steinberg, and Darwin Labarthe.
Candidates should have the following:
* Master’s or doctoral degree in statistics, biostatistics, epidemiology, public health, health economics, psychology or a related field
* 1-2 years of experience in statistical analysis programming
* Proficiency using SAS
* Experience working with large-scale health data sets
* Experience using relational database software (e.g., Oracle SQL) is preferred
The data analyst will work in Monterey, California.
To apply or learn more, go to this UPenn website: