Data Entry Coordinator II

Saunders Research Building

Full time

R275232

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

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly

Hours:

40

Department:

400990 Clin & Trans Science Institute

Work Shift:

UR - Day (United States of America)

Range:

UR URG 103 H

Compensation Range:

$18.00 - $25.14

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.

Organization:
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.

Position Summary:

This position involves analyzing the social media data (e.g. Twitter, Reddit, Instagram, Tik Tok, and You Tube 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.

• 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

• High School…