UCSD Layoff from Career Appointment: Apply by 02/16/17 for consideration with preference for rehire. All layoff applicants should contact their Employment Advisor. Eligible Disability Counseling and Consulting services (DCC) or Special Selection clients should contact their Vocational Rehabilitation Counselor for assistance.
Under general supervision, the incumbent will work on data analyses and data management associated with the longitudinal Vietnam Era Twin Study of Aging (VETSA).
Analyses may include, but not be limited to, twin analyses in openMX, genetic association studies, longitudinal analyses, structural equation modeling, repeated measures ANOVA and MANOVA, contingency tables, linear regression and mixed models, factor analysis, nonparametric methods, logistic regression, survival analysis, discriminant analysis, permutation methods, tree-structured methods, cross-validated misclassification probability estimation, principle components, multiple comparison methods, and power analysis. Incumbent will create, maintain, and document data files for multiple VETSA projects. Will distribute data sets to other investigators as needed.
Present analysis results orally, in writing, graphically, and in various forms of presentation media. Organize and manage time to provide maximum productivity within competing demands on time. Provide support (statistical, computer hardware and software) for statistical analyses and graphics applications. Coordinate with other statistical staff in computerization of new data and in resolution of discrepancies in data. Advise faculty, post doctoral fellows, and students on analyses. Help prepare statistical analysis section of new grant proposals. Perform data analyses and generate figures and results for new grant applications. Advise on study design and perform power calculations.
Graduation from college with a major in statistics or a related field and two (2) years of professional statistical experience; or an equivalent combination of education and experience; and knowledges and abilities essential to the successful performance of the duties assigned to the position.
Proven experience with statistical methods and models incorporating a wide range of variable types for analysis of variance and covariance, multiple linear, logistic models, survival analysis and longitudinal models.
Demonstrated extensive working knowledge of statistical programs such as R, SAS.
Demonstrated knowledge to modify and utilize data from ACCESS databases.
Experience manipulating large datasets, computing new variables, performing data management on multiple medical datasets, and using large and complex databases.
Demonstrated skill at creating graphs, figures and tables based on statistical output for use in publications and presentations.
Advanced and current theoretical knowledge and application experience in Biostatistics.
Excellent verbal and written communication skills, with the ability to interact effectively with a diverse group of people from faculty investigators to support staff.
Must be able to maintain strict confidentiality.
Experience in performing twin analyses using openMX and other statistical packages.