Data Analyst I-Emergency Medicine

The Data Analyst I is responsible for implementing best information technology data management practices in an effort to improve and ensure quality, streamline data cleaning efforts and deliver analyzable databases within agreed upon project timelines.

• Designs and writes custom applications needed to ensure the database meets requirements for the entry, management and reporting of data.
• Assists in the development of data management plans and guidelines that will deliver accurate, timelines consistent with quality data. Assures the quality control compliance process.
• Identifies and implements solutions to data management issues and concerns that arise during the conduct of research studies.
• Assists staff with technical issues related to electronic and remote record keeping systems; trains staff to help improve quality of data collected.
• Assists medical students, interns, residents and/or program faculty with queries and generating statistical analyses.
• Maintains knowledge of the current regulations and technologies related to data management.
• May write and prepare manuscripts and other materials for internal and external audiences.
• Performs other related duties.

Bachelor?s degree in computer science, statistics and/or related field, or combination of equivalent work experience and education. Master?s degree in relevant field of study preferred. 

Previous Experience

2-3 years database application/management experience, preferably in a large medical center or healthcare environment.  Experience with data manipulation in R ?reproducible dplyr stuff, dates, working with different data structures- and some database skills or ability to learn them quickly Experience in creating and managing a basic SQL database in Minerva. Python would be a plus.  Geospatial analysis techniques, advanced modeling techniques (e.g. nonlinear, distributed lag, Bayesian) preferred.

Computer Skills

SSPS/SAS

Microsoft Access

WORD

EXCEL

Prior experience developing and maintaining SQL databases

REDCap 

Spatial analysis; GIS; ArcPy

Omics/bioinformatics interest or experience 

Modeling e.g. nonlinear, distributed lag, Bayesian, ability to learn new modeling techniques 

-         Git/open science, deidentification, honest broker work

-         Basic Linux, enough to get by in Minerva

Using HIPAA-compliant AI tools 

Write and understand their own code without AI assistance