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Research Scientist, AI

Employer
UIC Ophthalmology & Visual Sciences
Location
Smith Park, IL
Closing date
Mar 19, 2023

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Sector
Science
Organization Type
Corporate
About Us

The University of Illinois at Chicago (UIC) is a leading public research university located in Chicago. With a focus on both cutting-edge research and community engagement, UIC is home to the world-renowned Department of Ophthalmology and Visual Sciences (DOVS). This Department, known for its expertise in ophthalmology and visual sciences, is further complemented by the AI in Ophthalmology (Ai-O) Center. As the first AI research center dedicated to ophthalmic applications, the Ai-O Center is at the forefront of innovation in areas such as data science, computer vision, and natural language processing, working towards advancing the field of clinical ophthalmology.

Description

The Research Scientist (AI) is responsible for building artificial intelligence applications and deep learning algorithms specific to medical images, specifically in the field of ophthalmology. The scientist is involved in researching and developing software tools for ophthalmic diagnostics and disease prediction. In addition to these tasks, the Research Scientist will also be responsible for conducting research on race equity in the data used in their work. Additionally, the scientist will be tasked with computer vision tasks such as image segmentation and object detection, and building secure compute infrastructure to store protected health information (PHI) from the Ophthalmology Department. The scientist will work closely with the Principal Investigator, or research staff supervisor, to carry out research objectives outlined by grant funding.

Essential Duties

Conduct independent research in the field of ophthalmology and AI, including developing and implementing advanced algorithms and models
Mentor junior researchers and students in the DOVS, providing scientific guidance and support in their own research projects
Foster research collaborations with other members of the DOVS, promoting interdisciplinary and cross-functional collaboration
Publish research findings in high-impact scientific journals and present findings at conferences and seminars
Stay up-to-date with current developments and advancements in the field of AI and data science, and apply them to the field of ophthalmology
Perform other related duties and participate in special projects as assigned

Minimum Qualifications

A minimum of a master's degree in in Computer Science, Data Science, Artificial Intelligence, or a related field required.
A minimum of five years' of related medical research experience required.
Demonstrated experience in machine learning and deep learning algorithms and techniques.
Proven experience in the application of AI in a research setting, preferably in the field of ophthalmology or other medical fields.
Strong publication record in high-impact scientific journals
Excellent verbal and written communication skills, with the ability to collaborate effectively with interdisciplinary teams

For full consideration, interested candidates should submit a cover letter, CV, and contact information of three references by March 8, 2023:

https://uic.csod.com/ux/ats/careersite/1/home/requisition/3390?c=uic

The University of Illinois conducts background checks on all job candidates upon acceptance of contingent offer employments. Background checks will be performed in compliance with the Fair Credit Report Act.

The University of Illinois at Chicago is an affirmative action, equal opportunity employer that has a strong institutional commitment to the principle of diversity and is particularly interested in receiving applications from a broad spectrum of people. We are committed to equal employment opportunities regardless of sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

The University of Illinois System requires candidates selected for hire to disclose any documented finding of sexual misconduct or sexual harassment and to authorize inquiries to current and former employers regarding findings of sexual misconduct or sexual harassment. For more information, visit https://www.hr.uillinois.edu/cms/One.aspx?portalId=4292&pageId=1411899

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