Statistician I

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Statistician I

lwhitted
The USC-Health, Emotion, & Addiction Laboratory (USC-HEAL) in the Department of Preventive Medicine  is recruiting a full-time Statistician I. USC-HEAL is an interdisciplinary group of 40 members including five faculty investigators, data collection staff, and trainees who pursue education and research dedicated to understanding and preventing addiction, mental illness, and chronic disease in vulnerable populations. The Statistician I will work closely with the USC-HEAL Senior Methodologist in managing the databases and statistical analyses of several ongoing laboratory- and longitudinal survey-based studies. USC-HEAL has a $2 million annual research portfolio, funded by the National Institutes of Health, California Tobacco Related Disease Prevention Program, and Tobacco-Related Disease Research Program. In general, research projects at USC-HEAL include: (1) large-scale multi-cohort longitudinal studies; (2) human behavioral laboratory experiments with mixed between-within participant factorial multi-condition designs; and (3) field research studies utilizing ecological momentary assessment (EMA) intensive repeated measures multi-level designs with observations nested within participants behavior.

USC-HEAL prides itself on creating a welcoming environment that emphasizes educating team members at all stages of their careers through professional development and a research seminar series. By encouraging a collaborative environment and creative, solution-oriented activities, USC-HEAL has been highly successful in producing large volumes of high impact, innovative research with relevance to the heath of the population. More information about ongoing research projects and USC-HEAL can be found at http://heal.usc.edu.

Specifically, the Statistician I will:

- Maintain data management/cleaning and quality control of diverse data sets of self-report, physiological, and behavioral drug use and other health behavior outcomes, from experimental laboratory, cohort studies, and field EMA research;
- Design and maintain multiple platforms for data collection that leverage modern technologies (including programming Redcap surveys and various EMA platforms);  
- Generate reports and/or datasets for managing recruitment, data analysis, and other study operations;
- Assist with data analyses on a range of dataset types (e.g., longitudinal, cross-sectional, multilevel, within-subjects repeated measures) using SPSS, SAS, STATA, R, or Mplus;
- Contribute to the preparation of reports, journal articles and conference presentations (e.g., drafting and editing tables/figures); and
- Assist in the development of new research proposals.

The ideal candidate will have proficiency in one or more programming languages (e.g., SPSS, SAS), including data manipulation, documentation, and analysis. A Bachelor’s degree in a behavioral science-related field, and 2 years of experience in database management and statistical analysis are required. Candidates with practical experience and a Master’s degree in biostatistics, quantitative psychology, or epidemiology are preferred. Candidates must be detail-oriented, fluent in English, and possess excellent organizational, communication, analytic, and written skills. The position is full time and requires 5 days/week attendance at our facilities at the USC Health Sciences Campus in Los Angeles, CA. Candidates may temporarily work remotely while public health guidelines related to social distancing are in place.


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.

Applications may be submitted through this link.