Description

Statistician I

Apply Keck School of Medicine Los Angeles, California

The Department of Population and Public Health Sciences at the University of Southern California (USC) invites applications for a Statistician I position as part of a large national research program called Environmental influences on Child Health Outcomes (ECHO). The goal of ECHO is to capitalize on existing study populations to investigate environmental exposures on child health and development, with a particular focus on airways, obesity, neurodevelopment and pre-, peri- and postnatal health. 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 and NIMHD. 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:

Manage and integrate data from multiple sources and databases including REDCap, eLAB, Excel, SAS and SQL;

Clean and process data on longitudinal outcomes and measures;

Perform quality control on code and/or analyses provided by others;

Conduct data harmonization and analysis on longitudinal and cross- sectional data sets;

Maintain documentation of analytic decisions and procedures;

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. 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

REQ20115639 Posted Date: 04/28/2022 - Thru date - 2022-06-30 Apply