Biostatistician I

The Institute of Addiction Science (IAS), the Tobacco Center of Regulatory Science (TCORS), and the Real-World Evaluation in Behavioral Epidemiology Laboratory (REBEL) are seeking a highly motivated, detail-oriented Biostatistician I to join our multidisciplinary research team. This full-time position will play a central role in leading statistical and geospatial analyses for an NIH K01-funded study examining how the tobacco and cannabis retail environment and neighborhood disadvantage influence adolescent nicotine and cannabis vaping initiation and progression. Job Function The Biostatistician I will lead and support advanced statistical and geospatial analyses across multiple projects, with a primary focus on a K01 study investigating environmental and socioeconomic determinants of adolescent vaping behaviors. Responsibilities include preparing and analyzing complex longitudinal and spatial datasets, under the direction of principal investigators, developing analytic strategies aligned with study aims, translating findings into actionable scientific outputs, and developing charts and graphs to display results; may assist in writing research papers for publication, presentations, or preparing statistical reports for management. Specific Responsibilities Leading geospatial analyses of tobacco retailer density, cannabis dispensary density, and neighborhood‑level socioeconomic indicators. Cleaning, managing, and integrating large‑scale longitudinal, survey, and geospatial datasets. Estimating the independent and joint effects of tobacco and cannabis retail environments on adolescent nicotine and cannabis vaping initiation and progression. Examining moderation by individual- and neighborhood‑level socioeconomic disadvantage. Integrating and analyzing store observation data to identify characteristics of retail environments associated with adolescent vaping behaviors. Applying advanced statistical methods (e.g., multilevel modeling, longitudinal data analysis, spatial regression, causal inference approaches). Collaborating with the Principal Investigator and research team to interpret findings and refine analytic approaches. Contributing to manuscript preparation, conference presentations, and NIH progress reports. Supporting data visualization, reproducible workflows, and documentation of analytic procedures. Contributing to new grant proposals and ongoing projects within the lab. Essential Skills And Characteristics Demonstrated expertise in complex statistical and geospatial analysis and interpretation. Strong programming skills in R, SAS, Stata, and/or ArcGIS. Experience working with multilevel, longitudinal, and spatial datasets. Exceptional attention to detail and data quality. Strong written and verbal communication skills, including the ability to translate statistical findings for interdisciplinary audiences. Strong organizational skills and ability to manage multiple analytic projects simultaneously. Interest in behavioral health, addiction science, and health disparities research. Basic Qualifications The ideal candidate will have a Master’s or PhD in biostatistics, statistics, epidemiology, data science, or a related quantitative field, along with demonstrated experience conducting advanced statistical and geospatial analyses. Candidates should be able to work both independently and collaboratively in a fast‑paced research environment. Experience with NIH‑funded research and peer‑reviewed publications is preferred. Minimum Education Master’s degree or higher Minimum Experience 2+ years of experience in statistical analysis within a research setting (doctoral training may count toward experience). Minimum Field Of Expertise Advanced statistical modeling, geospatial analysis (e.g., GIS, spatial‑temporal modeling), and management of complex research datasets. The annual typical salary for this position is $85,894.21. 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: Master's degree, Combined experience/education as substitute for minimum education. Minimum Experience: 1 year, Combined education/experience as substitute for minimum experience. Minimum Field of Expertise: Experience in Biostatistics, Statistics or related field. Experience with SAS, R or STATA. #J-18808-Ljbffr University of Southern California