Data Entry Coordinator II

University of Rochester•City of Rochester, NY

2d•$18 - $25•Hybrid

About The Position

The University of Rochester Clinical and Translational Science Institute Informatics Core provides comprehensive informatics infrastructure and expertise to support the full spectrum of clinical and translational research. The Core offers secure access to and integration of clinical, research, and population-level data; advanced data management and harmonization services; and analytic support spanning biostatistics, real-world data, and multi-omics integration. It enables investigators to efficiently identify cohorts, manage and analyze complex datasets, and develop reproducible, scalable workflows while adhering to regulatory, privacy, and security standards. By partnering closely with research teams from study design through dissemination, the Informatics Core accelerates discovery, facilitates cross-disciplinary collaboration, and strengthens the translation of data-driven insights into clinical and public health impact. This position involves analyzing the social media data (e.g. Twitter, Reddit, Instagram, TikTok, and YouTube data) associated with either 1) emerging tobacco products and their associations with health conditions and symptoms, as well as public opinion on the government policies related to the emerging tobacco products or 2) electronic cigarettes and other tobacco products and their associations with social media user engagement. This includes analyzing social media data using computer vision and large language model and statistical analysis software such as Python, SQL, SAS or R, conducting literature search on tobacco products and their association with health conditions and symptoms, 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
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, deep learning algorithms, computer vision, and large language models 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 preferred.

Responsibilities

Conduct literature searches 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