• Job Type: Officer of Administration
• Regular/Temporary: Regular
• Hours Per Week: 35
• Salary Range: $70,000 - $90,000

Position Summary

POSITION SUMMARY

The 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.

Responsibilities

PRINCIPAL RESPONSIBILITIES

• Analyze complex datasets involving substance use behaviors, health outcomes, and sociodemographic factors
• Develop and validate predictive models for morbidity and mortality risk
• Work 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 presentations
• Develop dashboards to report requested data sets to varying audiences and for the portfolio of epidemiological research studies
• Help create and maintain research databases with guidance and direction from Principal Investigators
• Remain abreast and updated of NYP and CUMC mandates, provide data and metrics to comply as needed
• Serve as departmental liaison to Medical Center and University for data science related matters
• For externally funded programs, lead Pre-award requests for arranging data in preparation of grant applications
• Post-award (funded studies) responsibilities include preparing data progress reports, general statistics and demographics to be disseminated to the Principal Investigators and sponsors

Minimum Qualifications

• Requires a bachelor's degree or equivalent in education and experience; plus, three years of related experience.

Preferred Qualifications

• Master?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 / Veteran

Columbia University is committed to the hiring of qualified local residents.

About Columbia University

Columbia University is one of the world's most important centers of research and at the same time a distinctive and distinguished learning environment for undergraduates and graduate students in many scholarly and professional fields. The University recognizes the importance of its location in New York City and seeks to link its research and teaching to the vast resources of a great metropolis. It seeks to attract a diverse and international faculty and student body, to support research and teaching on global issues, and to create academic relationships with many countries and regions. It expects all areas of the university to advance knowledge and learning at the highest level and to convey the products of its efforts to the world.

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