Data Analyst - Emergency MedicineThe Emergency Department at Columbia University has a diverse portfolio of internal and externally funded clinical and epidemiological research with a strong focus on data science. We are seeking an enthusiastic and creative data analyst to join our team of research investigators. The data analyst will work on research projects employing latent variable modeling and risk prediction methods to better understand substance use related morbidity and mortality outcomes (e.g., overdose, hospitalization).
This position is ideal for someone with a strong background in applied statistics, epidemiology, or data science, and passion for working with public health challenges involving substance use and behavioral health. Reporting to Raquel Shrager, Director and Dr. Kechna Cadet (Principal Investigator), the Data Analyst will be responsible for preparing, developing, and presenting analytic solutions for the wide breadth of research in the Department of Emergency Medicine.
This is a dynamic role, in which the Data Analyst will work closely with the Principal Investigator to guide study design, database creation, management, and analysis.Principal ResponsibilitiesAnalyze complex datasets involving substance use behaviors, health outcomes, and sociodemographic factorsDevelop and validate predictive models for morbidity and mortality riskWork with structured and unstructured data from multiple sources (e.g., electronic health records, surveys, administrative datasets)Interpret findings and communicate results via manuscript writing and presentationsDevelop dashboards to report requested data sets to varying audiences and for the portfolio of epidemiological research studiesHelp create and maintain research databases with guidance and direction from Principal InvestigatorsRemain abreast and updated of NYP and CUMC mandates, provide data and metrics to comply as neededServe as departmental liaison to Medical Center and University for data science related mattersFor externally funded programs, lead Pre-award requests for arranging data in preparation of grant applicationsPost-award (funded studies) responsibilities include preparing data progress reports, general statistics and demographics to be disseminated to the Principal Investigators and sponsorsMinimum QualificationsRequires a bachelor's degree or equivalent in education and experience; plus, three years of related experience.Preferred QualificationsMaster's degree preferred in epidemiology, data science, biostatistics, public health, or related field, plus at least two years directly related experience required.Advanced knowledge and proficiency in statistical programming (e.g., R, SAS, Python, Stata) preferred; prior experience with Tableau, and/or Epic preferred; working knowledge of MPLUS and SQL is a plus.Must possess excellent interpersonal and communication skills; a professional and positive can do attitude is a must. Adept at solving problems quickly, efficiently, and independently.Must be able to communicate, both verbally and in writing, in a professional and succinct manner, and be open to feedback and collaboration.Equal Opportunity Employer / Disability / VeteranColumbia University is committed to the hiring of qualified local residents.