Data Analyst

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

• Bachelor's degree and 3 years of experience, * 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