The Department of Population and Public Health Sciences and the Center for Genetic Epidemiology is seeking an energetic and dedicated individual to fill a data scientist position. This position involves analysis of large epidemiologic datasets from the Multiethnic Cohort Study, the RESPOND study, and other studies.
Specifically, the position will involve:
- Conduct data analysis on longitudinal and case-control data sets using R and/or python, including multivariate statistical techniques such as linear/logistic regression, Cox regression and other statistical methods
- Integrate data from multiple sources and databases such as Excel 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
- Assist in the development of research proposals
The ideal candidate must have a solid proficiency in general programming, including data manipulation and analysis procedures. Knowledge of R programming and other languages 9e.g. python) is highly desired. Master’s degree in data science, biostatistics, epidemiology, or a related field is required. Candidates must be detail-oriented, fluent in English, and possess excellent organizational, communication, and written skills.
This position is grant funded.
Preferred Education: Master's degree, Combined experience/education as substitute for minimum education
Preferred Experience: 2 years, Combined education/experience can substitute for minimum experience
Preferred Field of Expertise: Data Science, Engineering, Biostatistics or Statistics; high performance computer (e.g., Linux cluster) and PC experience; experience with R and python.
The hourly range for this position is $42.73-$54.21 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
Minimum Education: Bachelor's degree, Combined work experience and education as equivalent Minimum Experience: 1 year, Combined education/experience as substitute for minimum experience Minimum Field of Expertise: Sound knowledge of programming and documentation procedures, programming methods, program flow charts and operator instructions. Knowledge of one or more appropriate computer languages.
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