Research - Laboratory/Non-Laboratory, Staff/Administrative
Location: Hyde Park Campus
Aggregates data sources and documents data inventory on modern cloud-native platforms (AWS, GCP, Azure, Databricks).
Builds appropriate data ingestion pipelines relevant to research projects with strict adherence to privacy (HIPAA), security, and ethics.
Works with various health system partners (clinical staff, technical engineers, external vendors) as needed to extract and transfer high dimensional health data.
Assists with the development of machine learning algorithms applied to high dimensional health data, such as electrocardiogram waveform data, to model various patient outcomes.
Analyzes moderately complex data sets for the purpose of extracting and purposefully using applicable information.
Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming, analysis and modeling.
Performs other related work as needed.
Study in computer science or a related field.
At least two years of experience with data analysis and modeling (SQL, Java, Python, R) using open source tooling on big data analysis and processing on cloud platforms.
Attention to detail and excellent organizational and time management skills.
Strong self-starter able to work well in ambiguous situations and learn on the fly.
Background in healthcare preferred (familiarity with clinical applications, such as Epic/Cerner/Allscripts, PACS radiology systems, Philips Tracemaster).
Cover Letter (required)
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Internal Number: JR10349
About University of Chicago (UC)
One of the world's premier academic and research institutions, the University of Chicago has driven new ways of thinking since our 1890 founding. Today, UChicago is an intellectual destination that draws inspired scholars to our Hyde Park and international campuses, keeping UChicago at the nexus of ideas that challenge and change the world.