STATISTICAL PROGRAMMER POSITION FOR ARMY DATA HEALTH ANALYSIS

Location: Monterey, CA

The Positive Psychology Center at the University of Pennsylvania seeks a statistical programmer for a grant on Positive Health among soldiers in the Armed Forces. Using massive Army datasets, the project examines the influence of psychological assets on health outcomes and health care utilization. These datasets provide rich analytic opportunities and contain longitudinal data on psychological health, medical, and performance outcomes for more than a million soldiers. This is an exciting opportunity to collaborate on research that could have important implications for national policy.

The programmer will create, document, and execute statistical programs to generate analysis datasets.

The programmer will also interpret and present statistical output, as well as communicate findings to project members.

There will be numerous opportunities to collaborate on peer reviewed publications with leading researchers in psychology and preventive health, including Drs. Martin Seligman, Laura Kubzansky, Laurence Steinberg and Darwin Labarthe.

Experience with mining large-scale medical and behavioral datasets is required.

Candidate should have 1-3 years of experience in statistical analysis programming, with proficiency using SAS preferred. Experience using structural equation modeling software (Mplus) and relational database software (e.g., Oracle SQL) highly desired. Individuals with a Master's degree in psychology, public health, health economics or related field are encouraged to apply. The programmer will work in Monterey, CA with limited travel for collaboration with senior scientists.

Please send a cover letter, CV or resume, and references to: Libby Benson, lbens@psych.upenn.edu. The University of Pennsylvania is an EOE/Affirmative Action Employer.