Research Assistant

Department
 

MED - Biomedical Data Science - Beaulieu-Jones Research Staff

About the Department
 

The Section of Biomedical Data Science within the Department of Medicine at the University of Chicago performs research encompassing computational biomedicine, biomedical data science and biomedical informatics. The Beaulieu-Jones lab within the Section of Biomedical Data Science focuses on machine learning for healthcare within two primary areas: 1.) Precision phenotyping of complex, heterogeneous conditions and, 2.) Safe and Effective Deployment of Machine Learning in the clinic.

Job Summary
 

The job provides basic technical support activities related to scientific research projects. Complies with institutional, state, and federal regulatory policies, procedures, directives and mandates. Assists in drafting presentations on research findings.

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).

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Work Experience:

Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline.

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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
 

Research

Role Impact
 

Individual Contributor

FLSA Status
 

Non-Exempt

Pay Frequency
 

Biweekly

Scheduled Weekly Hours
 

40

Benefits Eligible
 

Yes

Drug Test Required
 

No

Health Screen Required
 

No

Motor Vehicle Record Inquiry Required
 

No

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 in