The USC Mark and Mary Stevens Neuroimaging and Informatics Institute and Laboratory of Neuro Imaging (INI, www.ini.usc.edu) are world leaders in the development of advanced computational and scientific approaches for the comprehensive mapping of brain structure and function. LONIâs unique multidisciplinary environment and cutting-edge resources allow for integration of clinical, psychological and genotypic information with neuroimaging phenotypes for research questions in neurology, psychiatry and developmental neurobiology.
The Imaging Genetics Center of USC (http://igc.ini.usc.edu) - a subdivision of INI - is recruiting a talented full-time Programmer Analyst with expertise in complex statistical designs, mixed effect and trajectory models, as well as parametric and nonparametric methods. Tasks will include conceptual development of statistical designs for complex projects focused on brain, biology, environment, and behavior. The applicant should be able to select appropriate and sophisticated analytical models for a given research question, guide data cleaning procedures for complex samples, and independently run and interpret analyses using various software. Individuals with experience blending traditional statistics with machine learning/deep learning techniques are strongly encouraged to apply. An emphasis will be placed on the use of visualization techniques to optimize the interpretability of the predictive models. The applicant should also have strong critical thinking skills to solve complicated problems using both large and small datasets. Proficiency in oral and written communication is required.Â Salary will range from 65-90k depending on experience.
Multilevel modeling for multivariate data: random effects, random slopes, and repeated measures designsÂ
Robust statistics, particularly related to outlier detection, computation of effect sizes, and bootstrapping techniques
Factor analysis, PCA, and latent class approaches
Generalized estimating equations (GEE)
Reliability, sensitivity, and ROC analyses
Group-based trajectory modelingÂ
Masterâs degree in statistics, biostatistics, or related field, with knowledge of both theory and application of techniques for complex samplesÂ
2-4 years of professional experience
Experience using statistical computer languages (e.g., R, Python, etc.) and scripting to manipulate and analyze data from large datasets.
Minimum Education: Bachelor's degree, Combined work experience and education as equivalentMinimum Experience: 1 year, Combined education/experience as substitute for minimum experienceMinimum 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.
USC is the leading private research university in Los Angeles—a global center for arts, technology and international business. With more than 47,500 students, we are located primarily in Los Angeles but also in various US and global satellite locations. As the largest private employer in Los Angeles, responsible for $8 billion annually in economic activity in the region, we offer the opportunity to work in a dynamic and diverse environment, in careers that span a broad spectrum of talents and skills across a variety of academic and professional schools and administrative units. As a USC employee and member of the Trojan Family—the faculty, staff, students, and alumni who make USC a great place to work—you will enjoy excellent benefits, including a variety of well-being programs designed to help individuals achieve work-life balance.