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Statistician I

Environmental Health Los Angeles, California

The Division of Environmental Health in the Department of Preventive Medicine at the University of Southern California is seeking an energetic individual to fill a statistician position in the Department of Preventive Medicine. This position involves analysis of large epidemiologic datasets from two large, ongoing cohorts, the Children’s Health Study (CHS) and the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) pregnancy cohort. This is an opportunity to work with world-class investigators from two closely integrated Centers at USC: the Southern California Environmental Health Sciences Center (SCEHSC), a research center funded by the National Institute of Environmental Health Sciences (NIEHS), and the Maternal and Developmental Risks from Environmental and Social Stressors (MADRES) Center, a research center funded by the NIEHS, NIMHD and the EPA. The SCEHSC houses one of the leading research groups in environmental epidemiology and biostatistics, with a particularly strong reputation in respiratory and metabolic diseases as well as methodological research in environmental and genetic epidemiology. The MADRES Center is investigating the role of prenatal environmental exposures and social determinants of the development of childhood obesity as well as other metabolic and respiratory health outcomes. Specifically, the position will involve:

  • Conduct data analysis on longitudinal and cross-sectional data sets using R and/or SAS, including univariate and multivariate statistical techniques such as linear/logistic regression, Cox regression and other statistical methods;
  • Integrate data from multiple sources and databases including Redcap, eLAB, Excel, FoxPro, SAS and SQL;
  • Perform quality control on code and/or analyses provided by others;
  • Assist in interpretation of large epidemiologic data sets;
  • Contribute to the writing and preparation of reports, journal articles and conference presentations; and
  • Assist in the development of research proposals.

The ideal candidate must have solid proficiency in SAS programming, including data manipulation and analysis procedures. Knowledge of R programming and other languages is also highly desired. Master’s degree in biostatistics, epidemiology, or a related field is required. Candidates must be detail-oriented, fluent in English, and possess excellent organizational, communication, and written skills.


Minimum Education: Master's degree, Combined experience/education as substitute for minimum education
Minimum Experience: 2 years, Combined education/experience as substitute for minimum experience
Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe computer and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS.



REQ20041753 Posted Date: 07/05/2017 - Thru date - 12/31/2017

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