Overview
On Site
Full Time
Skills
Science
Collaboration
Research
Extract
Transform
Load
Data Extraction
Quality Assurance
Cloud Computing
Microsoft SQL Server
Writing
Transact-SQL
ADS
Python
R
Documentation
Amazon Web Services
Microsoft Azure
Job Details
Health Sciences IT (HSIT) is seeking a dynamic professional who assists study teams with clinical, claims, or administrative research data. The HSIT Research team provides support for the six schools of the health sciences. As such, the successful candidate will collaborate closely with research teams and their Principal Investigators (PIs) to provide datasets for analysis based on study team requirements to answer their research questions.
The health data manager will become an expert with various datasets which include EHR, CMS Claims and administrative datasets to answer research questions in support of study teams. The data manager will be responsible for ETL pipelines, documentation, data loads, light analysis, data metrics and summaries, data extraction/views, and quality assurance. They will work with small datasets ranging from 500 MB to multiple TB data lakes. They must know how to optimize queries and consider costs when working in the cloud.
The ideal candidate must have experience using SQL Server as well as writing T-SQL. They will need experience using ADS/Synapse/Data Factory/SSDT and working in Python or R. . The incumbent must have excellent documentation skills and be open to learning new technologies. Familiarity with AWS and Azure is preferred. Master's degree or a bachelor's degree with associated experience are required.
The health data manager will become an expert with various datasets which include EHR, CMS Claims and administrative datasets to answer research questions in support of study teams. The data manager will be responsible for ETL pipelines, documentation, data loads, light analysis, data metrics and summaries, data extraction/views, and quality assurance. They will work with small datasets ranging from 500 MB to multiple TB data lakes. They must know how to optimize queries and consider costs when working in the cloud.
The ideal candidate must have experience using SQL Server as well as writing T-SQL. They will need experience using ADS/Synapse/Data Factory/SSDT and working in Python or R. . The incumbent must have excellent documentation skills and be open to learning new technologies. Familiarity with AWS and Azure is preferred. Master's degree or a bachelor's degree with associated experience are required.
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