Data Analyst

• Job Type: Officer of Administration • Bargaining Unit: • Regular/Temporary: Regular • End Date if Temporary: • Hours Per Week: 35 • Standard Work Schedule: • Building: • Salary Range: $74,500.00-$74,500.00 The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. Position Summary The Department of Epidemiology in the Mailman School of Public Health seeks an experienced quantitative Data Analyst to provide data management and conduct analysis of a project focusing on cannabis policies and cannabis outcomes in pregnant people, including administrative claims data and policy data. The successful candidate will have experience analyzing data, and proficiency in SAS, Stata, and/or R. The candidate will be involved in data management and cleaning of administrative claims data of a cohort of pregnant people, regression and quasi-experimental methods (DiD analyses) and causal medication analyses. Some experience with large datasets and DiD is essential. The incumbent will provide assistance with preparation of reports and papers for publication; assistance with developing related grant proposals and research protocols to extend the scope of the project; and other support as required. Responsibilities 80% data analysis 10% manuscript and grant preparation 10% IRB and other administrative tasks Minimum Qualifications • Bachelor’s degree Preferred Qualifications A master’s degree or equivalent in training, education, and/ or experience. Work experience in biostatistics and substance use epidemiology Experience with quantitative data management and analysis. experience working with administrative claims data, prior knowledge of the International Classification of Diseases codes (ICD) The ability to work with large teams of investigators. Proficiency in SAS, Stata, R is essential. Excellent written and oral communication skills and be detail oriented. High-level interpersonal and organizational skills. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.