Data Analyst I

Predoctoral Research Associate (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.Essential Functions:Develops and supports ongoing research projects of faculty, compile, manipulate, and analyze data using various search engines and software packages. Develops, collect, manage, and manipulate complex datasets using a variety of tools and sources, including but not limited to Stata, SAS, R, or Python; Create maps and link spatial data to health data. Analyzes and interprets data, statistics, and financial information.Collaborate with other members of the research team to advance research progress. Maintain effective communication with all members of the faculty, HEEL team, and outside collaborators.Partner with faculty with project management, managing near- and long-term priorities, exercising independent decision-making concerning the progression of research projects. Provides or facilitates guidance and training as needed to staff.Other duties as assigned.Minimum Education & Experience:Bachelor's degree in statistical analysis, data base management, or related discipline and 1 year experience with data analysis or customer resource management systems requiredOr equivalent combination of education and experienceKnowledge, Skills and Abilities:Strong attention to detail requiredStrong organizational, data analysis and problem solving skills requiredFamiliarity with statistics and statistical analysis preferredAdvanced knowledge of Microsoft Excel preferredAbility to visually portray data preferredA strong quantitative background; (ii) excellent programming skills (especially in Stata, with openness to learn SAS, python, R or SQL); (iii) the ability to work independently to solve problems; and (iv) a long-term interest in pursuing research in economics. Background in economics is recommended but not necessary – we welcome candidates with strong technical backgrounds who are looking for more exposure to economics and data science. Knowledge of GIS is also recommended; preferred.The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University's Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.