Data Entry Coordinator II

Summary

The University of Rochester is a research and educational institution committed to advancing clinical and translational research. The Data Entry Coordinator II analyzes electronic health record and national survey data using statistical and machine learning methods, conducts literature searches, develops Python and R programs, and prepares reports, tables, and figures for research dissemination.

Responsibilities

• Conduct literature search for statistical data analyses
• Summarize literature search into reportable paragraphs
• Analyze electronic health record data using advanced statistical and machine learning models
• Analyze national survey data using advanced statistical, machine learning, and deep learning algorithms
• Build custom external programs using Python and R to automate data cleaning, data transformation, data Quality Control and reporting
• Generate tables and figures for manuscript and conference presentations
• Write reports for the electronic health record and national survey data analysis to summarize the findings and interpret the findings through research from published literature
• Attend group meetings and present findings from the analysis
• Meet with the research team to discuss the results
• Other duties as assigned

Skills

• High School diploma and 1 year post high school education required
• Or equivalent combination of education and experience
• Must be able to work on-site or remotely
• Bachelor's degree in statistics (preferred)
• Experience working with large dataset
• Experience with data analysis software Python and R
• Experience with machine learning and deep learning algorithms
• Experience using relational databases
• Skilled at Python and R programing and be able to perform statistical and machine learning models
• Excellent attention to detail and the ability to work and communicate well with a multi-disciplinary team

Qualifications

Must Haves

• High School diploma and 1 year post high school education required
• Or equivalent combination of education and experience
• Must be able to work on-site or remotely

Nice to Haves

• Bachelor's degree in statistics (preferred)
• Experience working with large dataset
• Experience with data analysis software Python and R
• Experience with machine learning and deep learning algorithms
• Experience using relational databases
• Skilled at Python and R programing and be able to perform statistical and machine learning models
• Excellent attention to detail and the ability to work and communicate well with a multi-disciplinary team