Statistician II - Duke University Medical Center This position is primarily responsible for the collection, compilation, and analysis of data for the National Child Traumatic Stress Network (NCTSN) utilizing the Core Data Set.
The National Center for Child Traumatic Stress (NCCTS), co-located at UCLA and Duke University, the national coordinating center for the National Child Traumatic Stress Network (NCTSN), is seeking applicants for the position of Program Manager for a data analysis initiative that will involve coordination of multiple collaborative projects. The NCTSN is a unique federally funded initiative that seeks to improve the quality, effectiveness, and availability of care and services for children and families who are exposed to a wide range of traumatic experiences, including physical and sexual abuse; domestic, school, and community violence; natural disasters and terrorism; and life-threatening injury and illness. The NCCTS leads the coordination of NCTSN activities through multiple program areas, and provides support and facilitation of collaborations. Visit www.NCTSN.org for more organizational information.
Work Performed: Perform a variety of duties involving the application of intermediate statistical and technical skills in the design of research studies and the collection, compilation, and analysis of quantitative and qualitative data. Duties include generation of reports, statistical analysis and interpretation, programming, and consultation.
Candidate must be able to function independently and as a member of a research/study team. Provide statistical input in the design, execution and analysis of scientifically conducted studies. Participate in the development of operations and procedures for the collection, editing, verification and management of statistical data. Participate in developing data collection forms for scientific studies.
Operate one or more systems of computer hardware and statistical analysis software for the management and analysis of data (e.g., SPSS, SAS). Merge and process longitudinal data from multiple relational tables. Identify missing data and records. Write and update SAS code which automatically generates and updates summary tables using: SAS/ODS, SAS/MACRO, SQL, SAS/STAT, BASE, SAS/GRAPH. Identify complex relationships between variables using cross-tabulation, correlation, odds ratios and risk ratios, chi-square and t-tests; develop and test multivariate linear, non-parametric, and mixed models.
Participate in the preparation of written reports and oral presentations that summarize the analysis of data, interpret the findings and provide conclusions and
recommendations. Perform other related duties incidental to the work described herein.