Data and Engineering Manager - JR27676-3800
The University of Chicago
Published 16 Sep 2024
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Chicago, IL, USA
Full Time
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Role Highlights
Data Science
Project Management
SME
DataBase Design
Infrastructure
Research
Database
Operations
Cloud
Deployment
Microservices
Server
Mathematics
Statistics
Agile
Tools, Libraries and Frameworks
Description
The role involves leading an engineering team within the Data Science Institute to support various research initiatives. The Data and Engineering Manager is responsible for establishing software development best practices while fostering a collaborative environment in academia. This position entails evaluating external technical proposals and making significant decisions regarding project selection and execution. Additionally, the role includes mentorship of engineers and students to enhance their skills and foster innovation.
Required Qualifications and Skills
The position requires a college or university degree in a related field, preferably in math, statistics, computer science, data science, or a similar discipline. Candidates should have over seven years of relevant work experience, including significant technical expertise in areas like database design and cloud deployment. Additionally, project management experience, especially using agile methodologies, is beneficial.
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About the company
The University of Chicago
Size
16525
HQ
Chicago, US
Description
The University of Chicago's Section of Biomedical Data Science within the Department of Medicine focuses on computational biomedicine, biomedical data science, and biomedical informatics. It houses the Beaulieu-Jones lab, which specializes in machine learning for healthcare, emphasizing precision phenotyping of complex conditions and the clinical deployment of machine learning solutions. Their research spans across examining clinical data through innovative machine learning models and involves collaborative efforts aimed at enhancing healthcare delivery and outcomes.
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