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Data Analyst
Columbia University
- New York, New York, United States
- New York, New York, United States
Über
Bargaining Unit:
Regular/Temporary: Regular
End Date if Temporary:
Hours Per Week: 35
Standard Work Schedule:
Building:
Salary Range: 70,000-84,000
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 longitudinal cohort data and quasi-experimental designs for the VIBE Research Lab. The portfolio of projects includes studies of the social and structural determinants of maternal and reproductive health equity. The successful candidate will have experience analyzing data, writing scientific manuscripts, and proficiency in SAS, Stata, and R. Experience with longitudinal data analysis (e.g., survival analysis and other time-to-event procedures, trajectory analysis), random effects models, and quasi-experimental models (e.g., interrupted time series) is preferred. She/he/they will assist with the preparation of conference abstracts, reports, and papers for publication; the development of related grant proposals and research protocols to extend the scope of the project; and other support as required. The Data Analyst will also produce charts and data visualizations for the research projects.
Responsibilities
70% data analysis
20% manuscript and grant preparation
5% documentation, data governance
5% other administrative tasks
Minimum Qualifications
Bachelor's degree and 3 years of experience
Preferred Qualifications
A master's degree or equivalent in training, education, and/ or experience in public health or a related discipline.
Work experience in public health or related science.
Highly motivated and interested in developing a research career
Experience with quantitative data management and analysis
The ability to work with internal and external multidisciplinary teams
Proficiency in SAS, Stata, and R is essential
Excellent written and oral communication skills and detail-oriented
High-level interpersonal and organizational skills
Ability to work independently
Excellent written and verbal communication skills
Knowledge of health equity research and practice
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.
Sprachkenntnisse
- English
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