The Center for Women’s Biobehavioral Health Research, directed by Dr. Rebecca Thurston, is the home of several large-scale projects focusing on midlife women’s health. Dr. Thurston is Assistant Dean of Women’s Health Research in the School of Medicine and also directs a research training program. The Sr. Statistician will work to perform high level statistical analysis. The ideal candidate will have a PhD in Statistics with demonstrated skill with SAS, and experience in analysis of complicated longitudinal datasets.

• Conduct and supervise statistical analysis and data management. Evaluate the structure of datasets regarding specific statistical tests, executes statistical tests. Run and evaluate statistical models.
• Help maintain programs for data entry, data management, and subject tracking.
• Plan, develop, and implement educational programs (data and statistical analysis) for staff.
• Collaborate with the research staff to address complex data analytic and statistical questions.
• Collaborate with principal investigators, co-investigators, and research staff in the preparation of manuscripts.
• Complete reports in order to ensure that any data errors are identified quickly and corrected.
• Prepare written and oral data presentations/visual displays for grant submissions, progress reports, site visits, seminars, and meetings.
• Train and supervise research personnel.
• Identify and correct common data analytic and statistical problems.
• Effectively explain areas of research methodology and statistical analysis to the PI as they relate to research outcomes.
• Serve as a consultant for research fellows in preparation of their manuscripts.
• Determine appropriate analysis to perform based on clinical questions and research outcomes.
• Monitor and maintain quality of data for quality improvement.
• Master’s degree required in Biostatistics, Statistics, Research Methodology, Psychology, Health Sciences, Computer Science or related field.
• 3 years of prior statistical analysis and data management experience is required. Preferably in a research setting.
• Strong working knowledge of at least one statistical software packages (SPSS, SAS, StatXact, Stata) is required.
• Strong working knowledge of relational database systems is required. Working knowledge of MS Office is required.
• Excellent oral and written communications is required.
• Excellent organizational and interpersonal skills are required.
• Prior experience supervising junior staff is preferred.