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Data Analyst
Columbia University
Salary- $70K/yr - $90K/yr
New York
Posted 2 months ago
- Job Type: Officer of Administration
- Bargaining Unit:
- Regular/Temporary: Regular
- End Date if Temporary:
- Hours Per Week: 35
- Standard Work Schedule:
- Building:
- Salary Range: $70,000-$79,000
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 such as interrupted time series is preferred. She/he/they will assist with preparation of conference abstracts, 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. The Data Analyst will also product charts and data visualizations for the research projects. This is a two-year grant-funded position.
Responsibilities
70% data analysis
20% manuscript and grant preparation
10% documentation, data governance and other administrative tasks
Minimum Qualifications
A bachelor’s degree or equivalent in training, education plus 3 years of experience
Experience with quantitative data management and analysis.
The ability to work with internal and external multidisciplinary teams.
Proficiency in SAS, Stata, R is essential.
Excellent written and oral communication skills and be 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
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 a related science.
Highly motivated and interested in developing a research career
Equal Opportunity Employer / Disability / Veteran
Columbia University is committed to the hiring of qualified local residents.