
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 Consortium’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. Master’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 candidate’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++.