Department
About the Department
Job Summary
Responsibilities
Assist in the research, development and/or application of machine learning models to clinical data.
Work closely with postdoctoral researchers and other members of the lab to support the design and implementation of novel models to examine clinical data cross multiple modalities (e.g., text and imaging data).
Participate in the evaluation and validation of developed models across multiple datasets and/or settings.
Support lab efforts to publish research findings in scientific journals and/or present research findings at relevant scientific conferences and seminars.
Participate in lab activities including collaborative meetings, offering feedback to other members of the lab, literature review and preparing materials for research presentations.
Provides routine or standardized laboratory duties by collecting data in support of research projects under direct supervision.
Collects and enters data. Assists in analysis of data and with preparation of reports, manuscripts and other documents.
Performs other related work as needed.
Minimum Qualifications
Education:
Minimum requirements include vocational training, apprenticeships or the equivalent experience in related field (not typically required to have a four-year degree).---
Work Experience:
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Certifications:
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Preferred Qualifications
Education:
Bachelor's degree in Computer Science, Data Science, Biomedical Informatics or a related field.
Experience:
Relevant research experience.
Technical Skills or Knowledge:
Programming skills in Python or other languages commonly used for statistical programming (e.g., R).
Demonstrated interest or experience in machine learning frameworks and libraries (e.g., PyTorch).
Familiarity with medical datasets or prior experience in other fields that can translate to medical data.
Preferred Competencies
Strong organizational skills and attention to detail.
Strong problem-solving skills and analytical skills.
Excellent interpersonal and communication skills (both verbal and written).
Work independently and as part of a team.
Highly self-motivated.
Prioritize multiple competing priorities.
Maintain patient/participant confidentiality and exercise discretion regarding confidential project matters.
Application Documents
Resume/CV (required)
Cover Letter (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Job Family
Role Impact
FLSA Status
Pay Frequency
Scheduled Weekly Hours
Benefits Eligible
Drug Test Required
Health Screen Required
Motor Vehicle Record Inquiry Required
Posting Statement
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.
The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.
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