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Job Location (Full Address):

265 Crittenden Blvd, Rochester, New York, United States of America, 14642

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

400110 Public Health Sciences

Work Shift:

UR - Day (United States of America)

Range:

UR URG 106 H

Compensation Range:

$21.78 - $30.53

Responsibilities:

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 required
• Or equivalent combination of education and experience

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.

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