Theinformationlab
Part-Time Lecturer - MS in Applied Data Science - 147224-3800
Theinformationlab, Chicago, Illinois, United States, 60290
Part-Time Lecturer - MS in Applied Data Science - 147224-3800
The University of Chicago
Published 16 Sep 2024Share this job
Chicago, IL, USAPart TimeRole Highlights
Data ScienceData ArchitectComputer ScienceDigital MarketingCloudAIMathematicsPhDStatisticsTools, Libraries and Frameworks
Description
The role involves teaching foundational, core, or elective courses in the MS in Applied Data Science program, focusing on Cloud Data Architecture for Data Science and AI. The lecturer will engage with students and contribute to their understanding of data science applications in financial and digital marketing domains. The position requires a strong background in data science or related fields, emphasizing the application of AI in education. Candidates will be expected to provide a syllabus and demonstrate their qualifications for the courses they propose to teach.Required Qualifications and Skills
Candidates must hold a Master’s Degree in Data Science or a closely related field and have a minimum of five years of professional experience in relevant areas. A PhD in a similar field and teaching experience are preferred, although not required. Experience in teaching online programs is also beneficial. Applicants must have a solid understanding of data science principles and the ability to design and deliver course content effectively.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.About the company
The University of Chicago
Size
16525HQ
Chicago, USDescription
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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The University of Chicago
Published 16 Sep 2024Share this job
Chicago, IL, USAPart TimeRole Highlights
Data ScienceData ArchitectComputer ScienceDigital MarketingCloudAIMathematicsPhDStatisticsTools, Libraries and Frameworks
Description
The role involves teaching foundational, core, or elective courses in the MS in Applied Data Science program, focusing on Cloud Data Architecture for Data Science and AI. The lecturer will engage with students and contribute to their understanding of data science applications in financial and digital marketing domains. The position requires a strong background in data science or related fields, emphasizing the application of AI in education. Candidates will be expected to provide a syllabus and demonstrate their qualifications for the courses they propose to teach.Required Qualifications and Skills
Candidates must hold a Master’s Degree in Data Science or a closely related field and have a minimum of five years of professional experience in relevant areas. A PhD in a similar field and teaching experience are preferred, although not required. Experience in teaching online programs is also beneficial. Applicants must have a solid understanding of data science principles and the ability to design and deliver course content effectively.Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.About the company
The University of Chicago
Size
16525HQ
Chicago, USDescription
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.
#J-18808-Ljbffr