Data Entry Coordinator II

University of Rochester•City of Rochester, NY

1d•$17 - $22•Hybrid

About The Position

This position involves analyzing electronic health record and national survey data using computer and statistical analysis software such as Python and R, conducting literature search on statistical data analyses, generating tables and figures for manuscript and conference presentations. The candidate will work under the general supervision of Dr. Li.

Requirements

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 preferred.
Experience with data analysis software Python and R preferred.
Experience with machine learning and deep learning algorithms preferred.
Experience using relational databases preferred.
Skilled at Python and R programing and be able to perform statistical and machine learning models preferred.
Excellent attention to detail and the ability to work and communicate well with a multi-disciplinary team.

Responsibilities

Conduct literature searches
Conduct literature search for statistical data analyses.
Summarize literature search into reportable paragraphs.
Analyze electronic health record and national survey data
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.
Generate tables and figures for manuscript and conference presentations
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 to summarize and interpret the analysis results from the social media data
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 and present at group meetings and meet with supervisors
Attend group meetings and present findings from the analysis.
Meet with the research team to discuss the results.
Other duties as assigned.