SENIOR STATISTICAL ANALYST
Duties: The Senior Statistical Analyst supports innovative research and health policy-related research projects conducted by investigators at the Leonard Davis Institute of Health Economics and the Department of Medicine at the Perelman School of Medicine. Using large array of statistical and analytic programming tools, the Senior Statistical Analyst will conduct specialized statistical analyses such as hierarchical linear or non-linear models, Bayesian analyses, decision trees, multivariate analyses using propensity scores, and is expected to apply tools across the disciplines of conventional statistical inferences and new technologies from data science. Expertise with data visualization techniques, dimension reduction, and ability to work across a wide range of statistical and computer programming tools (SAS, STATA, R, SQL and Python) are important to enable innovative research.
Qualifications: The minimum of a Master's degree in Math/Statistics, Healthcare Management, Economics or Public Health or similar field and 5 years of related experience, or an equivalent combination of education and experience, required. Experience in applying health services research methods through SAS or STATA programming is required. Strong statistical programming skills are required. Prior work experience in academic or research setting in health care is preferred. Prior experience with analyzing clinical trials is preferred. Position contingent upon funding.
Reference Number: 40-30291
Salary Grade: 029
Employment Type: Exempt
Org: DM-General Internal Medicine
Job Family: I-Technical/Professional Research