University of Southern California
Specifically, The Statistician/data Manager Will
- Perform primary data management and quality control of large epidemiologic data sets of health outcomes, biomarker, biospecimen, as well as complex environmental and genetic data;
- Integrate data from multiple sources and databases including SQL, Redcap, and eLAB;
- Conduct data analysis on longitudinal and cross-sectional data sets using SAS and/or R, including univariate and multivariate statistical techniques such as logistic regression, linear regression, Cox regression and other advanced statistical methods;
- Generate reports and/or datasets for managing recruitment and other data collection and study operations for ongoing follow-up and tracking efforts;
- Serve as lead contact for data management and data transfer protocols to the ECHO Consortiumâ€™s Data Analysis Center;
- Assist in interpretation of large epidemiologic data sets;
- Provide mentoring to students, other statisticians and staff on statistical methods and applications;
- 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 documentation, as well as analysis procedures. Masterâ€™s degree in biostatistics or epidemiology, or a related field is required. In addition, the successful applicant will have at least 2-3 years of experience in designing and managing large health-related databases and performing statistical analysis. Candidates must be detail-oriented, fluent in English, and possess excellent organizational, communication, and written skills.
The annual base salary range for this position is $88,341.18- $120,579.01. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidateâ€™s work experience, education/training, key skills, internal peer equity, federal, state, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.â€
Minimum Education: Master’s degree Minimum Experience: 3 years Minimum Field of Expertise: Biometry, Biostatistics or Statistics; mainframe and PC experience; experience with SAS, Epilog, BMDP, GLIM or SPSS and programming languages such as FORTRAN, C++.