Senior Director of Strategic AI Initiatives and Operations - JR27657-3800

Company:  Theironslawfirm
Location: Chicago
Closing Date: 24/10/2024
Salary: £150 - £200 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Senior Director of Strategic AI Initiatives and Operations - JR27657-3800

The University of Chicago

Published 29 Sep 2024

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Chicago, IL, USA

Full Time

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Towards AI has published Building LLMs for production!

Role Highlights

AI

Data Science

Computer Science

Project Management

Social Media

Strategic Planning

Research

Operations

Tools, Libraries and Frameworks

Description

The role involves facilitating strategic initiatives and ensuring smooth day-to-day operations related to Artificial Intelligence (AI) priorities. It requires coordinating with various stakeholders to advance cutting-edge programs and manage a portfolio of strategic partnerships. The individual will oversee communication efforts, develop metrics, and support proposal submissions aimed at enhancing AI initiatives. Additionally, the role encompasses managing events, professional development programming, and ensuring operational excellence within the organization.

Required Qualifications and Skills

The role requires strong organizational skills, adaptability, and a proactive approach in managing strategic AI initiatives. Candidates should have experience in project management, proposal development, and fundraising, along with a strong ability to coordinate events and communications. The position also necessitates leadership qualities to oversee staffing and professional development programs. A background in working with academic or research institutions is likely advantageous.

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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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