Data Analyst II

The Department of Public Health Sciences at the University of Rochester seeks a highly motivated individual to serve as a full-time predoctoral research associate (Data Analyst II) under the supervision of Dr. Elaine L. Hill, a health economist. The successful candidate will participate in NIH-funded research and join the Health and Environmental Economics Lab. RAs collect and organize data, conduct statistical analysis on large databases, contribute to manuscript writing (with the option for co-authorship), and provide other support associated with faculty research.

Responsibilities

Participate in NIH-funded research; Join the Health and Environmental Economics Lab; Collect and organize data; Conduct statistical analysis on large databases; Contribute to manuscript writing with the option for co-authorship; Provide support associated with faculty research; Develop and support ongoing research projects of faculty; Compile, manipulate, and analyze data using various search engines and software packages; Develop, collect, manage, and manipulate complex datasets using tools including Stata, SAS, R, or Python; Create maps and link spatial data to health data; Analyze and interpret data, statistics, and financial information; Collaborate with other members of the research team; Maintain effective communication with faculty, HEEL team, and outside collaborators; Partner with faculty in project management; Provide or facilitate guidance and training to staff; Other duties as assigned

Requirements

Bachelor's degree in statistical analysis, database management, or related studies and 3 years data analysis or customer resource management systems experience; Or equivalent combination of education and experience; Attention to detail; Accuracy and record keeping; Data analysis and problem solving; Advanced Excel; Strong quantitative background; Excellent programming skills, especially in Stata, with openness to learn SAS, Python, R or SQL; Ability to work independently to solve problems; Long-term interest in pursuing research in economics

Nice to have

Background in economics; Knowledge of GIS