The Positive Psychology Center at the University of Pennsylvania seeks a data analyst for a grant examining the influence of psychological assets on performance and health outcomes (including 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, misconduct, 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. 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:
• 1-3 years of experience in statistical analysis
• Proficiency using SAS
• Experience working with large-scale health data sets
• Experience using relational database software (e.g., Oracle SQL) is highly desired
Individuals with a Master’s or doctoral degree in statistics, biostatistics, epidemiology, public health, health economics, psychology or a related field are encouraged to apply. The data analyst will work in Monterey, CA with limited travel for collaboration with senior scientists.
Please send a cover letter, CV or resume, and contact information for 3 references to: Margeaux Cannon, email@example.com. The University of Pennsylvania is an EOE/Affirmative Action Employer.