As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.
Job Location (Full Address):
Opening:
Worker Subtype:
Time Type:
Scheduled Weekly Hours:
Department:
Work Shift:
Range:
Compensation Range:
The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.
Responsibilities:
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 required
KNOWLEDGE, SKILLS AND ABILITIES
- Strong attention to detail required
- Strong organizational, data analysis and problem solving skills required
- Familiarity with statistics and statistical analysis preferred
- Advanced knowledge of Microsoft Excel preferred
- Ability to visually portray data preferred
- A 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.